3 0 0 3 - malnad college of engineeringmcehassan.ac.in/department/ec/files/m.tech syllabus...

Department of Electronics and Communication Engineering

Malnad College of Engineering, Hassan

Scheme for the M.Tech (DECS) autonomous program for the batch 2016-18 and 2017-19 1

st Semester

Code Course L T P C Marks

CIE SEE Total

17ECS11 Advanced Engineering Mathematics 4 0 0 4 50 50 100

17ECS12 Advanced Antenna Theory 4 0 0 4 50 50 100

17ECS13 Advanced Embedded System 4 0 0 4 50 50 100

17ECS14 Advanced Digital Communications 4 0 0 4 50 50 100

17ECS15 Error Control Coding 4 0 0 4 50 50 100

17ECS16 Digital and Microwave Communication Lab 0 0 3 2 50 50 100

17ECS17 *Seminar 0 0 2 1 100 - 100

17ECS1XX Elective-1 3 0 0 3 50 50 100

Total Credits 26

*Two presentations mid and final each of 50 marks.

2nd

Semester


17ECS21 Advanced DSP 4 0 0 4 CIE SEE Total

17ECS22 RF and Microwave circuit Design 4 0 0 4 50 50 100

17ECS23 Wireless Communication 4 0 0 4 50 50 100

17ECS24 Optical Networks 4 0 0 4 50 50 100

17ECS25 Signal Processing Lab 0 0 3 2 50 50 100

17ECS26 Seminar 0 0 2 1 100 - 100

17ECS2XX Elective-2 3 0 0 3 50 50 100

17ECS2XX Elective-3 3 0 0 3 50 50 100

Total Credits 25 50 50 100

*Two presentations mid and final each of 50 marks.

3rd

Semester


17ECS31

Seminar / Presentation on Internship (After 8 weeks from

the date of commencement) 0 3 6 6 25

Total

100 Report on Internship 0 2 4 4 25

Evaluation and Viva-Voce of Internship 0 2 4 4 50

Total Credits 14

4th

Semester


17ECS41

Project phase -1 0 0 3 2 25

Total

300

Project phase -II 0 4 6 7 25

Project phase -III 0 6 10 11 50

Evaluation of Project report

100

Project Vivavoce

100

Total Credits 20

Electives

17ECS181/281 Advanced Computer

Networks

17ECS 185/285 Software Defined

Radio

17ECS 189/289 Communication

System Design using DSP algorithm

17ECS 182/282 Nano Electronics 17ECS 186/286 Multimedia

Communication

17ECS 190/290 Advances in Image

Processing

17ECS 183/283 Wireline Broadband

Communications

17ECS 187/287 * MEMS and Micro

Systems

17ECS 191/291 *Sensor and its

Applications

17ECS 184/284 *Simulation, Modeling

and Analysis

17ECS 188/288 Cryptography and

Network Security

17ECS 192/292 CMOS VLSI

Design and Testing

*Global Electives- for all M.Tech programs

ADVANCED ENGINEERING MATHEMATICS 4-0-0(4.0)CORE SEMESTER – I

Subject Code 17ECS11 CIE Marks 50

Number of Lecture Hours/Week 04 SEE Marks 50

Total Number of Lecture Hours 52 Total 100

Course objectives: This course will enable students to: Acquaint with principles of linear algebra, Numerical solution of partial differential equations, probability theory,

random process and Apply the knowledge of linear algebra, probability theory and random process in the applications of engineering sciences.

Modules

Note: Statement of Theorems and properties only (proofs are not required). Applicable to

all the modules

Teaching

Hours Levels

Module -1 Probability Theory Review of basic probability theory. Definitions of random variables

and probability distributions, probability mass and density functions, expectation,

moments, central moments, characteristic functions, probability generating and moment generating functions-illustrations. Exponential, Gaussian and Rayleigh distributions-

examples. Applications. Discussion on when and where to apply probability distribution

functions

10 Hours

Ref. books

1, 2

L1,L2

Module -2

Joint probability distributions - only illustrative examples on the results of CDF, PDF, PMF, conditional Distributions, Expectation, covariance, correlation, Independent random

variables. Statement of central limit Theorem. Random process- Classification, stationary and ergodic random Process, Auto correlation

function-properties, Gaussian random process.

10 Hours

Ref. books

1, 2

L1,L2

Module -3 Linear Algebra-I Brief review of vector spaces, sub-spaces, Basis of a vector space

Linear transformations, Rank and nullity of linear transformations, Rank of a matrix,

solution of homogeneous and non homogeneous equations using the concept of rank.

Illustrative examples on, 1. Linearly independent and dependent vectors, 2. Basis of vector

space, dimension of a vector space and Matrix form of linear transformations.

10 Hours

Ref. books

3, 4

L1,L2

Module -4

Linear Algebra-II Computation of Eigen values and Eigen vectors based on the concept of rank and applications . Orthogonal vectors and orthogonal bases. Gram-Schmidt orthogonalization process. QR decomposition, singular value decomposition, least square approximations

10 Hours

Ref. books

3, 4

L1,L2

Module -5

Numerical solution of partial differential equations- Classification of PDE, numerical solution of one dimensional heat equation, numerical solution of one dimensional wave

equation, numerical solution of two dimensional Laplace equation.

10 Hours

Ref. books

4 , 5

L1,L2

Course Outcomes: After studying this course, students will be able to: 1. Understand vector spaces, basis, linear transformations and the process of obtaining matrix of linear

transformations arising in magnification and rotation of images. 2. Apply the techniques of QR and singular value decomposition for data compression, least square

approximation in solving inconsistent linear systems. 3. Utilize the concepts of Numerical solution of partial differential equations to solve engineering problems

which are governed by partial differential equations 4. Learn the idea of random variables (discrete/continuous) and probability distributions in analyzing the

probability models arising in control systems and system communications.

5. Apply the idea of joint probability distributions and the role of parameter-dependent random variables in random process.

Question paper pattern:

The question paper will have 6 full questions carrying equal marks one from each module with the sixth

question from any of the modules.

The students will have to answer any 5 questions.

Reference books: 1. Scott L.Miller, DonaldG. Childers: “Probability and Random Process with application to Signal

Processing”, Elsevier Academic Press, 2nd

Edition,2013.

2. T.Veerarajan: “Probability, Statistics and Random Process“, 3rd

Edition, Tata McGraw Hill Co., 2008. 3. David C.Lay, Steven R. Lay and J.J.McDonald: Linear Algebra and its Applications, 5th Edition, Pearson

Education Ltd., 2015.

4. E. Kreyszig, “Advanced Engineering Mathematics”, 10th edition, Wiley, 2015. 5. B. S. Grewal ,Higher Engineering Mathematics Khanna publishers 42

nd edition.

Web links: 1. http://nptel.ac.in/courses.php?disciplineId=111 2. http://www.class-central.com/subject/math(MOOCs) 3. http://ocw.mit.edu/courses/mathematics/

www.wolfram.com

http://www.wolfram.com/

ADVANCED ANTENNA THEORY 4-0-0(4.0) SEMESTER – I




Course objectives: This course will enable students to: Introduce and discuss different types of Antennas, various terminologies, excitations. Study different types of Arrays, Pattern-multiplication, Feeding techniques. Calculate gain of aperture antennas, Reflector antennas and analyze general feed model. Define, describe, and illustrate principle behind antenna synthesis. Introduction of Method of moments, Pocklington’s integral equation, Source modeling.

Modules Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1

Antenna Fundamentals and Definitions: Radiation Mechanisms, Overview, EM

Fundamentals, Solution of Maxwell's Equations for Radiation Problems, Ideal Dipole,

Radiation patterns, Directivity and Gain, Antenna impedance, Radiation efficiency,

Antenna polarization.

10 Hours L1,L2

Module -2

Arrays: Array factor for linear arrays, Uniformly excited equally spaced linear arrays,

Pattern multiplication, Directivity of linear arrays, Non-uniformly excited equally spaced

linear arrays, Mutual coupling. Design

Antenna Synthesis: Formulation of the synthesis problem, Synthesis principles, Line

sources shaped beam synthesis, Linear array shaped beam synthesis, Fourier series,

Woodward- Lawson sampling method, Comparison of shaped beamsynthesis methods, low

side lobe narrow main beam synthesis methods, Dolph Chebyshev linear array, Taylor line

source method.

10 Hours L1,L2,L3,

L4, L5

Module -3

Resonant Antennas: Wires and Patches, Dipole antenna, Yagi-Uda antennas, Micro-strip

antenna Design.

Broadband antennas: Traveling wave antennas Helical antennas, Biconical antennas,

Sleeve antennas, and Principles of frequency independent antennas, Spiral antennas, and

Log - periodic antennas Design.

10 Hours L1,L2,L3,

L5

Module -4

Aperture antennas: Techniques for evaluating gain, Reflector antennas- Parabolic

reflector antenna principles, Axi- symmetric parabolic reflector antenna, Offset parabolic reflectors, Dual reflector antennas, Gain calculations for reflector antennas,

Feed antennas for reflectors, Field representations, Matching the feed to the reflector, General feed model, Feed antennas used in practice Design.

10 Hours L1,L2,L3,

L5

Module -5

CEM for antennas: The method of moments: Introduction of the methods moments, Pocklington's integral equation, Integral equation and Kirchhoff’s networking equations,

Source modeling weighted residual formulations and computational consideration, Calculation of antenna and scatter characteristics.

10 Hours L1,L2

Course Outcomes: After studying this course, students will be able to:

1. Classify different types of antennas 2. Define and illustrate various types of array antennas 3. Design antennas like Yagi-Uda, Helical antennas and other broad band antennas 4. Describe different antenna synthesis methods. 5. Apply methods like MOM

6. Apply knowledge gained for Design of an Antenna

Post Graduate Attributes (as per NBA):

1. Engineering Knowledge. 2. Problem Analysis. 3. Design / development of solutions (partly). 4. Interpretation of data.





Reference Books: 1. Stutzman and Thiele, “Antenna Theory and Design”, 2nd Edition, John Wiley, 2010. 2. C. A. Balanis, “Antenna Theory Analysis and Design”, John Wiley, 2nd Edition 2007. 3. J. D. Krauss, “Antennas and Wave Propagation”, McGraw Hill TMH, 4th Edition, 2010. 4. A.R.Harish, M.Sachidanada, “Antennas and propagation”, Pearson Education, 2015.

ADVANCED EMBEDDED SYSTEM 4-0-0(4.0) SEMESTER – I


Number of

Lecture Hours/Week

04 SEE Marks 50


Course objectives: This course will enable students to:

Understand the basic hardware components and their selection method based on the characteristics and attributes of an embedded system.

Describe the hardware software co-design and firmware design approaches. Explain the architectural features of ARM CORTEX M3 and M4 processors. Program ARM CORTEX M3 and M4 using the various instructions, for different applications.

Modules Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1

10

Hours L1, L2,

L3

Embedded System: Embedded vs General computing system, classification, application and purpose of ES. The typical embedded system, Core of an Embedded System,

Memory, Characteristics and Quality Attributes of Embedded Systems, Hardware Software Co-Design embedded and program modeling, Fundamental issues in Hardware Software Co-Design, Computational models on embedded design. Module -2

10

Hours

L1, L2,

L3, L4

Files generated during compilation, Disassembler, Simulators, emulators and debugging ,Target hardware debugging, Product enclosure design and development, Embedded product Development life cycle(EDLC), Phases of EDLC, EDLC approaches.

Module 3:

10

Hours L1, L2,

L3

Introduction of ARM cortex M Processors:

ARM Cortex M Processors, Advantages of ARM Cortex M Processors Applications

of ARM Cortex M Processors ,Resources using ARM processors and ARM

microcontrollers, Background history,Introduction to Embedded software

development, What are inside ARM microcontrollers? what you need to start,

software development flow, compiling your applications, software flow, Data types

in C programming Inputs, outputs, and peripherals accesses, Microcontroller

interfaces, The Cortex microcontroller software interface standard (CMSIS).

Module 4:

Technical Overview: General information about the Cortex M3 and Cortex M4

processors,Features of the Cortex M3 and Cortex M4 processors,

Architecture:Introduction to the architecture, Programmer’s model, Behavior of the

application program status register (APSR),Memory system , Exceptions and

interrupts,System control block (SCB) Debug, Reset and reset sequence.

10

Hours

L1, L2,

L3,L4

Module 5:

Instruction Set: Background to the instruction set in ARMCortex processors,

Comparison of the instruction set in ARM Cortex-M processors, Understanding the

assembly language syntax, Use of a suffix in instructions, Unified assembly language

(UAL) ,Instruction set, Programs.

10

Hours

L1, L2,

L3


Explain the basic hardware components and their selection method based on the characteristics and attributes of an embedded system.

Explain the hardware software co-design and firmware design approaches.

Acquire the knowledge of the architectural features of ARM CORTEX processors including memory map, interrupts and exceptions.

Acquire the knowledge of the instruction set of ARM CORTEX M processors. Apply the knowledge gained for Programming ARM CORTEX M processor for different applications.


Engineering Knowledge.

Problem Analysis. Design / development of solutions (partly). Interpretation of data.

Question paper pattern: The question paper will have 6 full questions carrying equal marks one from each module with the sixth



Reference Books:

1. K. V. Shibu, "Introduction to embedded systems", TMH education Pvt. Ltd. 2009 .

2. Joseph Yiu “The definitive guide to ARM Cortex M3 and Cortex M4 Processors” Third

edition,Copyright©2014 Elsevier Inc.

3. James K. Peckol, "Embedded systems- A contemporary design tool", John Wiley, 2008

4. ARM Limited , “Cortex- M3 Technical Reference Manual”, Copyright©2006

ADVANCED DIGITAL COMMUNICATION 4-0-0(4.0) SEMESTER – I

Course Code 17ECS14 CIE Marks 50


Total Number of Lecture Hours 52 Exam Hours 03


1. Analyze the difference of analog and digital signals, and understands the digital signal is has the ability of

noise rejection.

2. Analyze the operation of different modulation techniques and analyze the error performance of digital modulation techniques in presence of AWGN noise.

3. Explain and demonstrate the model of discrete time channel with ISI. 4. Explain the model of discrete time channel by equalizer.

5. Explain various types of equalizers used for channel modeling and adjusting the filter coefficients 6. Understand the concept of spread spectrum communication system and analyze the error performance.

Modules Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1

Digital Modulation Schemes: Digital modulation formats, Coherent binary

modulation techniques Coherent quadrature – modulation techniques, No-

coherent binary modulation techniques, Comparison of binary and quaternary

modulation techniques.

10

Hours

L1,L2,L3, L4

Module -2

M-ray modulation techniques: M-ary PSKModulation,M-ary FSKModulation, M-ary QASKModulation Power spectra, Bandwidth efficiency, M-array modulation formats viewed in the light of the channel capacity theorem.

10

Hours L1,L2,L3

L4

Module -3

Multichannel and Multicarrier Signalling: Multichannel Communications in an AWGN channel, Multicarrier Communications in AWGN channel. Synchronization: Signal Parameter estimation, Carrier Phase Estimation, Symbol Timing Recovery.

10

Hours L2,L3,L4

Module -4

Digital Communication through band-limited channels: Characterization of Band-limited channels, Optimum Receiver for channels with ISI and AWGN, Linear equalization, Decision feedback equalization. Adaptive equalization: Adaptive linear equalizer, adaptive decision feedback

equalizer, Adaptive equalization of Trellis - coded signals.

10

Hours L1,L2,L3,

L4

Module -5

Spread spectrum signals for digital communication:Model of spread spectrum digital communication system,Direct sequence spread spectrum signals, Frequency hoppedspread spectrum signals, Time hopping SS, Synchronization of SS systems (Qualitative Analysis).

10

Hours L1,L2

Course Outcomes: After studying this course, students will be able to: Acquire knowledge of o Advanced topics on digital communication. o Application and practical implementation of various Digital Modulationtechniques. o Inter symbol interference (ISI) and its channel modeling . o Different types spread spectrum system o Different filtering algorithms for the ISI elimination o The effect of signal characteristics on the choice of a channel model.

Analyse the performance of Digital Modulation techniques. o Different filtering algorithms. o Spread spectrum communication system

Post Graduate Attributes (as per NBA): o Engineering Knowledge.

oProblem Analysis. oDesign / development of solutions (partly). oInterpretation of data.




Reference Books:

1 Simon Haykin, "Digital communications", John Wiley and Sons, Student edition. 2 John G. Proakis, MasoudSalehi, "Digital Communications", McGraw Hill, 5

th Edition, 2008.

3.Bernard Sklar, "Digital Communication - Fundamental and applications", Pearson education (Asia), Pvt.

Ltd., 2nd edition, 2001.

ERROR CONTROL CODING 4-0-0(4.0)CORE

SEMESTER – I Subject Code 17ECS15 CIE Marks 50



Course objectives: This course will enable students to understand the use of linear algebra for error control coding

and design several error control codes to achieve error detection and correction in data transmission systems.

COURSE OUTCOMES: At the end of the course student will be able to:

1. Relate and use linear algebra concepts in designing error control codes.

2. Design random error correcting codes such as linear block codes, Hamming codes and cyclic codes mathematically

and encoder/decoder design for varying message lengths, one step and two step Majority logic decodeing

3. Design multiple error correcting codes such as Reed Muller, Reed Solomon codes, BCH (binary and non binary)

and appropriate decoders with probability of error as the performance parameter.

4. Design systematic and non systematic Convolution encoders and Viterbi decoders,Stack and Fano sequential

decoding algorithms with probability of error as the performance parameter.

5. Design single/multiple level concatenated codes and analyse turbo coding design and fountain codes.

6. Analyse the design of LDPC and burst error correcting codes including fire codes.

Modules Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1 Introduction to algebra: Groups, Fields, binary Fields arithmetic, Construction of Galois

Fields GF (2m) and its properties, Computation using Galois Fields GF (2

m) arithmetic,

Rings, Vector spaces and Matrices.

Linear block codes : Generation & Decoding , Hamming codes, Reed-Muller codes,

Product codes.

10 Hours L1,L2,L3,

L4,L5,L6

Module -2

Cyclic codes : Generation & Decoding,Meggitt decoder, Error trapping decoding,

Golay codes. 10 Hours

L1, L2, L3,

L4,L5,L6

Module -3

BCH codes: Binary and Non binary primitive BCH codes, Decoding procedures, Reed -

Solomon codes, decoding of non-binary BCH and RS codes using the Berlekamp -

Massey Algorithm.

Majority Logic decodable codes: One step and two step majority logic decoding,

Multiple-step majority logic decoding.

10 Hours L1, L2,

L3,L4

Module -4

Convolution codes: Encoding of convolutional codes, Viterbi decoding algorithm - hard

& soft decision, Stack and Fano sequential decoding algorithms. 10 Hours

L1, L2, L3,

L4,L5,L6

Module -5

Concatenated codes and Turbo codes: Single level concatenated codes, Concept of

interleaving, Introduction to Turbo coding and their distance properties, design of Turbo

codes. Fire codes, LDPC codes (Coding & decoding), Fountain codes.

10 Hours

L1, L2,

L3,L4



Problem Analysis.

Design/Development of Solutions

Interpretation of data.





Reference books:

1. Shu Lin and Daniel J. Costello. Jr, "Error control coding", Pearson, Prentice Hall, 2nd edition, 2004.

2. Blahut. R. E, "Theory and practice of error control codes", Addison Wesley, 1984.

3. Bernard Sklar, "Digital Communication - Fundamental and applications", Pearson education (Asia), Pvt. Ltd.,

2nd edition, 2001.

Web links:

1. http://nptel.ac.in

Digital and Microwave Communication Lab (0.0.2)2

SEMESTER – I


Number of Lab Hours/Week 03 SEE Marks 50

Total Number of Lab Classes 15 Total 100

Course objectives: This laboratory course enables students to get practical experience

Radiation pattern of antennas. Determining gain and directivity of a given antenna. Working of Klystron source. S-parameters of some microwave passive devices.

Laboratory Experiments: NOTE: Experiments can be done using Hardware tools such as Spectrum analyzers, Signal sources, Power Supplies, Oscilloscopes, High frequency signal sources, Fiber optic kits, Microwave measurement benches, DSP processor kit, FPGA kit, Logic analyzers, PC setups, etc. Software tools based experiments can be done using, HFSS or equivalent open source simulator, MATLAB etc.

1. Conduct an experiment for basic digital modulation technique using

CD4051 IC. L3,L4

2. Conduct an experiment of DPSK and QPSK modulation technique using

CD4051 IC. L2, L3

3. Determine the frequency, guide wavelength and VSWR using microwave

bench. L3, L4

4. Determine the modes of reflex klystron using microwave bench. L3, L4

5. Determine the coupling co-efficient and insertion loss of directional

coupler using microwave bench. L2, L3

6. Determine the gain of Horn antenna using microwave bench. L1,L2

7. Study the radiation pattern of different antennas using MATLAB. L2, L3

8. Determine the radiation pattern of an antenna using MATLAB. L3, L4

9. Study the radiation pattern, gain, VSWR and reflection co-efficient for a

microstrip patch antenna using HFSS. L3,L4

10. Design a circuit for generating pseudorandom signal using shift registers. L3,L4

11. Impedance measurements of Horn/Yagi/dipole/Parabolic Antenna L3,L4

12. Study of radiation pattern of E & H plane horns. L1,L2,L3,L4

Course outcomes: On the completion of this laboratory course, the students will be able to: Plot the radiation pattern of some antennas using matlab and wave guide setup Obtain the S-parameters of Magic tee and directional couplers. Test the IC CD4051 for modulation techniques. Study multiplexing techniques using OFC kit.

Graduate Attributes (as per NBA) Engineering Knowledge.

Problem Analysis.

Design/Development of solutions.

Advanced DSP 4-0-0(4.0)CORE

SEMESTER – II




Course objectives: This course will enable students: • With necessary background to pursue research in multiple areas of digital signal processing. • With knowledge of Understanding the Sampling rate conversion methods

• To Know finite word length effects in DSP systems • To explore non-parametric methods for power spectrum estimation and analyze power spectrum

estimation using parametric methods.

Modules Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1

Introduction: Multirate Digital Signal Processing: Introduction, Decimation by a factor ‘D’, Interpolation by a factor ‘I’, Sampling rate Conversion by a factor ‘I/D’, implementation of Sampling rate conversion, Multistage implementation of Sampling rate conversion, Sampling rate conversion of Band Pass Signals, Sampling rate conversion by an arbitrary factor, Applications of Multirate Signal Processing, Digital Filter banks, Two Channel Quadrature Mirror Filter banks, M-Channel QMF bank (Text 1)..

10 Hours L1, L2,L3

Module -2

Transform Analysis of LTI systems: The frequency response of LTI systems, System functions for systems characterized by linear constant coefficient difference equations, frequency response for rational system functions, Relationship between magnitude and phase, All pass systems, minimum phase systems, linear systems with generalized linear phase (Text 2).

10 Hours L1, L2

Module -3

Linear Prediction and Optimum Linear Filters: Representation of a random process, Forward and backward linear prediction, Solution of normal equations, Properties of the linear error-prediction filters, AR lattice and ARMA lattice-ladder filters, Wiener filters for filtering and prediction (Text 1).

10 Hours L1,L2,L3

Module -4

Time frequency transformation: The Fourier Transform: Its Power and Limitations, The short Time Fourier Transform, The Gabor transform, The wavelet transform, Perfect reconstruction Filter Banks and Wavelets, Recursive Multi resolution Decomposition, Haar Wavelet (Text 3).

10 Hours L1,L2

Module -5

Hardware and Software for Digital Signal Processors: Digital signal processor

architecture, Digital signal processor hardware units, Fixed- point and floating-point

formats (Text 4).

10 Hours L1,L2

Course outcomes: After studying this course, students will be able to:

Explain sampling and reconstruction processes and Generate different signals at different sample rates and

determine the relevant parameters in specific applications

Deduce and apply correlation functions and power spectra for various signal classes, in particular for stochastic signals

Construct and apply simple multi-rate signal processing systems

Solve and interpret the result of signal processing problems by use of Matlab.

Design of simple, specific signal processing systems based on an analysis of involved signal characteristics, the

objective of the processing system, and utility of methods presented in the course.

Graduate Attributes (as per NBA):

• Engineering knowledge • Problem analysis • Design (Partly)


The question paper will have 6 full questions carrying equal marks one from each module with the

sixth question from any of the modules.


Reference Book:

1. Proakis and Manolakis, “Digital Signal Processing”, Prentice Hall, 4th edition, 1996.

2. Alan V. Oppenheim and Ronald W.Schafer, “Discrete-Time signal Processing”, PHI Learning, 2003.

3. Roberto Cristi, “Modern Digital Signal Processing”, Cengage Publishers, India, Eerstwhile Thompson

Publications, 2003.

4. Li Tan, “Digital Signal Processing – Fundamentals and Applications”, Elsevier, 2008.

5. S.K.Mitra, “Digital Signal Processing: A Computer Based Approach”, 3rd edition,

Tata McGraw Hill, India, 2007.

RF AND MICROWAVE CIRCUIT DESIGN 4-0-0(4.0) CORE

SEMESTER – II




Course objectives: This course will enable students to: 1. Analyze the wave propagation in RF/Microwave networks

2. Analyze the operation ofbasic components and its impedance transformations 3. Analyze low and high frequency parameters under RF/Microwave frequency. 4. Understanding the usage of smith chart and using to determine the transmission line parameters

5. Designing Impedance matching in transmission line networks

6. Understanding the manufacturing IC’s and designing the RF/Microwave mixers.

Modules Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1

Wave propagation in network: Introduction, Reasons for using RF/Microwaves,

Applications’, RF waves, RF and Microwave circuit design, The unchanging

fundamental versus the ever – evolving structure, General active circuit block

diagrams.

RF electronics Concepts: Introduction to components basics, Resonant circuits,

Analysis of simple circuit phasor domain, , Impedance Transformer, RF impedance

matching,

10

Hours

L1,L2,L3,

L4

Module -2

Fundamental Concepts in wave Propagation: Definition of wave, Mathematical form of propagating wave, Properties of waves, transmission media,Microstrip line, Circuit representation of Two – port RF/Microwave Networks:Low frequency parameters, High frequency parameters, Properties of S - parameters

10

Hours L1,L2,L3

L4

Module -3

The Smith Chart: Introduction, Smith chart, Derivation of Smith chart, Description

of Two types of Smith charts, Smith chart circular scales, Smith chart radial Scales,

The normalized Impedance – Admittance chart.

Application of Smith chart: Distributed circuit applications

10

Hours L2,L3,L4

Module -4

Design of matching networks: Introduction, Definition of Impedance Matching, Selection of a Matching network, the goals of impedance matching, Design of

matching circuits using lumped elements, Design of matching circuits using Distributed elements.

Noise Consideration in active networks:Introduction, Importance of noise, Noise definition, Source of noise, Thermal noise analysis, Noise model of a noisy resistor, Equivalent noise temperature, Definition of noise figure, noise figure of a cascaded networks.

10

Hours L1,L2,L3,

L4

Module -5

RF/Microwave frequency Conversions II: Mixer Design: Introduction, Mixer

types, Conversion loss form SSB mixer, SSB Mixer versus DSB Mixer, One –

diode mixer, Two – diode mixer(qualitative analysis only),

RF/Microwave IC design: Introduction, Microwave integrated circuits, Types of

MIC’s, Hybrid versus Monolithic IC’s, Chip Mathematics

10

Hours

L1,L2

Course Outcomes: After studying this course, students will be able to: Acquire knowledge of

o Wave propagation in RF/Microwave networks. o Understanding operation of basic components o Different types of impedance transformations o Smith chart and its application o Different types of matching networks o Mixer design and IC fabrication.

Analyze the performance of Digital Modulation techniques. oDifferent filtering algorithms. o Spread spectrum communication system

Post Graduate Attributes (as per NBA): oEngineering Knowledge. oProblem Analysis. oDesign / development of solutions (partly). oInterpretation of data.

Question paper pattern: The question paper will have 6 full questions carrying equal marks one from each module with the



Reference Books:

1. Matthew M. Radmanesh, "RF and Microwave Electronics Illustrated", Pearson Education edition, 2004. 2. Reinhold Ludwig, and Pavel Bretchko,"RF circuit design theory and applications", Pearson Education edition, 2004.

3.Samuel Y. Liao, "Microwave Devices and Circuits ", Prentice Hall of India Pvt. Ltd., 3rd edition, 2004.

WIRELESS COMMUNICATION 4-0-0(4.0) CORE SEMESTER – II





Acquaint with principles of modeling of wireless channel. Learn various aspects of Rayleigh fading and diversity for point to point communication, Learn different digital modulation techniques in single channel. Learn wide band modulation techniques of single channel. Develop awareness wireless communication systems and standards. Learn the principles of MIMO Systems

Modules

Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1

Wireless channel: Physical modeling for wireless channels, I/O model of wireless

channels, time and frequency response, Statistical models. (Text-1)

Point-to-Point Communication I: Detection in Rayleigh fading channels, Time

diversity, Antenna diversity.

10 Hours

L1,L2

Module -2

Point-to-Point Communication II: Frequency diversity, Impact of the

channel uncertainty.(Text-1) Single Channel Digital Modulation Techniques: Digital modulation and performance parameters, constant envelope modulation schemes, variable envelope modulation schemes, differential ,I/Q offset modulation schemes, theoretical bandwidth efficiency limits, increasing spectrum efficiency and transmission power related issues.(Text-2)

10 Hours

L1,L2

Module -3

Wide band modulation techniques 2: Basic principles of orthogonality, Single vs Multicarrier systems, OFDM block diagram and its explanation, mathematical representation, selection parameters for modulation, pulse shaping in OFDM signal and spectral efficiency, windowing in OFDM signal and spectral efficiency, synchronization in OFDM, pilot insertion in OFDM transmission and channel estimation, amplitude limitations in OFDM,FFT points selection constraints in OFDM, CDMA vs OFDM, hybrid OFDM

10 Hours

L1,L2

Module -4

Wireless Communication Systems and standards 1:Broad cast networks:

Introduction, DAB, DRM, HD radio technology, DVB (latest version),DTH(Text 2) Wireless Communication Systems and standards 3:Ad Hoc Network, WLAN,

and WMAN: Introduction, Bluetooth Wi-fi , WiMAX standards, wireless sensor networks, Zigbee, UWB,IEEE 802.15.4,802.20 and beyond 631. (Text 2)

10 Hours

L1,L2

Module -5

MIMO Systems: Introduction, Space diversity and system based on space diversity, Smart antenna systems and MIMO, MIMO based system architecture; MIMO exploits multipath, Space time processing, Antenna considerations for MIMO. MIMO channel modeling, MIMO channel measurements, MIMO channel capacity, CDD, Space time coding, advantages and applications of MIMO, MIMO application in 3G.(Text-2)

10 Hours

L1,L2


1. Understand the physical modeling of wireless channel.

2. Apply various aspects of Rayleigh fading and diversity for point to point communication,

3. Learn different digital modulation techniques in single channel.

4. Utilize the various concepts of wide band modulation techniques for single channel.

5. Learn different standards and systems for wireless communication.

6. Understand the various principles of MIMO Systems.





Reference books: 1. Upen Dalal, "Wireless communication", Oxford, 2009.

2. C. Y. William, Lee, "Mobile communication engineering theory and applications", TMH, 2008.

3. Ke-Lin Du, ad M.N.S. Swamy, "Wireless communication systems-From RF subsystems to 4G

enabling Technologies", Cambridge,South Asian 2010 edition.

OPTICAL NETWORKS 4-0-0(4.0) CORE SEMESTER – II





Mathematically analyze and conceptualize basics of optical networking and its associated nonlinear artifacts and effects.

Develop awareness regarding optical devices and their working strategies Develop awareness of WDM principles, and that of power penalty issues existent in optical Networks . Design second generation optical networks using various existent & devices like OADM, OLT and OXC

and to mathematically model the problems in the design of WDM networks Develop an awareness towards Photonic packet switching, OTDM, Multiplexing and demultiplexing,

Synchronisation.

Modules

Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1

Introduction to optical networks: Telecommunication networks, First generation

optical networks, Multiplexing techniques, Second generation optical networks,

System and network evolution. Non linear effects SPM, CPM, four wave mixing,

Solitons

10 Hours

L1,L2,

L3

Module -2

Components: Couplers, isolators and Circulators, Multiplexes and filters Optical

amplifiers Transmitters, detectors, Switches, Wavelength converters

10 Hours

L1,L2,

L3,L4

Module -3

Transmission system Engineering: System model, Power penalty, Transmitter,

receiver, optical amplifiers, Crosstalk, Dispersion, Overall design Consideration

First generation networks, SONET/SDH, Optical transport networks, IP,MPLS,WDM

network elements, OLT,OLTA,OADM, Optical cross connects

10 Hours

L1,L2,

L3,L4

Module -4

WDM Network Design: Cost tradeoffs, LTD and RWA problems, Dimensioning

wavelength routed networks, Access networks: Network architecture overview,

present and future access networks, HFC, FTTC, PON

10 Hours

L1,L2,

L3,L4

Module -5

Photonic packet switching, OTDM, Multiplexing and demultiplexing,

Synchronisation. Recent developments and trends

10 Hours

L1,L2,

L3

Course outcomes: After studying this course, students will be able to:

Demonstrate a comprehensive overview of Optical network evolution, explain and analyze basic non linear

phenomena in optical systems

Analyse and model the functioning of passive components essential for optical networks

Formulate, design and analyse issues related to transmission systems and access networks.

Demonstrate an ability to analyse issues related to routing, dimensioning and configurations of optical

networks

Analyse and articulate various concepts related to photonic methods of multiplexing and switching and recent

trends in optical networks.

Present investigations, based on technical papers and case studies by working in groups.





Reference Book: 1. Rajiv Ramswami and K. N. Sivarajan, "Optical Networks", Morgan Kauffman Publishers, 3

rd edition, 2010.

2. John M. Senior, "Optical fiber communication", Pearson edition, 2000. 3. Gerd Kaiser, "Optical fiber Communication Systems", John Wiley, New York, 1997. 4. P. E. Green, "Optical Networks", Prentice Hall, 1994.

Signal Processing Lab 0-0-2(2.0)

Semester II

Subject code 17ECS25 CIE Marks 50


Total number of Lecture Hours 40 Total 100

Course objectives: This laboratory course enables students to

Implement (MATLAB) basic operations on signals

Understand signal behaviour in time domain and frequency domain

Understand Sampling rate variation using decimation and interpolation

Understand the concept of power spectrum

Pursue research work in signal processing

Laboratory Experiments:

Hardware and software implementation of the following 1. Generate various fundamental discrete time signals using DSP kit TMS 320C6713 and MAT lab

respectively. Basic operations on signals (Multiplication, Folding, Scaling). Convolution, FFT of

Signal.

2. Find out DFT and IDFT of a given sequence.

3. Design a discrete low pass filter, Rectangular window, Hamming window, Kaiser window, Bartlett

window, Blackman window, Hanning window

4. Estimate the PSD (powder spectral density) of a noisy signal using periodogram and modified

periodogram. 5. Program for the design of Butterworth Low pass filter, High pass filter, Band pass filter and Band

stop filter. 6. Sampling rate variation using decimation and interpolation of a given sequence.

7. IIR filter design using Impulse invariant method and Bilinear transformation method.

8.

Response of LTI systems to different inputs with the LTI system is defined by the difference

equation.

9.

Design IIR & FAR simple digital filters using the relationship between pole and zeros and the

frequency response of the system.

10.

Determine The effect of time domain windowing. Example

Generate a signal with two frequencies x(t)=3 Cos(2Pi f1*t)+2 Cos(2Pi f2*t)sampled at fs=8kHz.

Let

f1=1kHz and f2=f1+'A" and the overall

data length be N=256points.

a) From theory, determine the minimum value of 'A' necessary to distinguish between the two

frequencies.

b) Verify this result experimentally, Using the rectangular window, look at the DFT with several

values of 'A' so that you verify the resolution.

(c) Repeat part (b0 using a hamming window. How did the resolution change?

11.

To compare DFT and DCT (in terms of energy compactness)

Example Generate the sequence x[n]=n-64 for n=0, ...127.

(a) Let X[k] = DFT{x[n]}. For various values of l, set to zero "high frequency coefficients" X[64

l]= ....X[64]= ......X[64+L]=0 and take the Inverse DFT. Plot the results.

(b) Let XDCT[k] =DCT(X[n]). For the same values of L, set to zero "high frequency coefficient"

XDCT [127-L] = ....XDCT [127]. Take the

Inverse DCT for each case and compare the reconstruction with the previous case.

12. Two Applications of signal processing

ADVANCED COMPUTER NETWORKS 3-0-0(3.0)ELECTIVE SEMESTER – I/II

Course Code 16ECS181/281 CIE Marks 50



Prerequisite

Course objectives: This course will enable students to: Develop an awareness towards basic networking principles Learn various aspects involved in multiple access and multiplexing Develop an awareness regarding the LAN architectures and the various data switching techniques Learn the scheduling techniques of networks Learn protocols operating in at different layers of computer networks Develop an awareness towards the network control and traffic management

Modules Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1

Introduction to networks: Computer network, Telephone networks, Networking

principles Protocol layering, Multiplexing- TDM, FDM, SM, WDM, CCSDS

architecture. Multiple Access: Introduction, Choices and constraints, base technologies,

centralized and distributed access schemes.

08 Hours

L1,

L2, L3

Module -2

Local Area Networks: Ethernet - Physical layer, MAC, LLC, LAN interconnection, Token ring- Physical layer, MAC, LLC, FDDI (Text 1). Switching- introduction, circuit switching, packet switching, multicasting (Text 2). Scheduling: Introduction, requirements, choices, performance bounds, best- effort

techniques. Naming and addressing (Text 2).

08 Hours

L1,

L2, L3

Module -3

SONET, SDH (Text 2), ATM Networks- features, signaling and routing, header and

adaptation layers (Text 1), virtual circuits, SSCOP, Internet- addressing, routing, end

point control (Text 2). Internet protocols- IP, TCP, UDP, ICMP, HTTP (Text 2).

08 Hours

L1,

L2, L3

Module -4 Traffic Management: Introduction, framework for traffic management, traffic models, traffic classes, traffic scheduling (Text 2). Control of Networks: Objectives and methods of control, routing optimization in

circuit and datagram networks, Markov chains, Queuing models in circuit and

datagram networks (Text 1).

08 Hours

L1,

L2, L3

Module -5

Congestion and flow control: Window congestion control, rate congestion control, control in ATM Networks (Text 1), flow control model, open loop flow control, closed loop flow control (Text 2).

08 Hours

L1,L2,

L3,L5

Course outcomes: After studying this course, students will be able to: Choose

o appropriate multiple access and multiplexing techniques as per the requirement. o standards for establishing a computer network o switching techniques based on the applications of the network o IP configuration for the network with suitable routing, scheduling, error control and flow control

Analyze and develop various network traffic management and control techniques





Reference Books: 1. J. Walrand and P. Varaya, "High performance communication networks", Harcourt Asia (Morgan

Kaufmann), 2000. 2. S. Keshav, "An Engineering approach to Computer Networking", Pearson Education, 1997.

3. Leon-Garcia, and I. Widjaja, "Communication network: Fundamental concepts and key architectures", TMH,

2000. 4. J. F. Kurose, and K. W. Ross, "Computer networking: A top down approach featuring the Internet", Pearson Education, 2001.

NANOELECTRONICS 3-0-0(3.0)ELECTIVE

Semester I/II

Subject Code 17ECS182/282 CIE Marks 50



Prerequisite Course objectives: Enhance basic engineering science and technological knowledge of nano electronics.

Explain basics of top-down and bottom-up fabrication process, devices and systems. Describe technologies involved in modern day electronic devices.

Appreciate the complexities in scaling down the electronic devices in the future.

Modules Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1

Introduction: Overview of nanoscience and engineering. Development Milestones in microfabrication and electronic industry. Moores’ law and continued

miniaturization, Classification of Nanostructures, Electronic properties of atoms and solids: Isolated atom, Bonding between atoms, Giant molecular solids, Free electron

models and energy bands, crystalline solids, Periodicity of crystal lattices, Electronic

conduction, effects of nanometerlength scale, Fabrication methods: Top down

processes, Bottom up processes methods for templating the growth of

nanomaterials, ordering of nanosystems (Text 1).

8 hours L1, L2

Module -2

Characterization: Classification, Microscopic techniques, Field ion microscopy,

scanning probe techniques, diffraction techniques: bulk and surface diffraction

techniques (Text 1).

8 hours L1, L2

Module -3

Characterization: spectroscopy techniques: photon, radiofrequency, electron,

surface analysis and dept profiling: electron, mass, Ion beam, Reflectrometry, Techniques for property measurement: mechanical, electron, magnetic, thermal

properties. Inorganic semiconductor nanostructures: overview of semiconductor physics. Quantum confinement in semiconductor Nanostructures: quantum wells, quantum wires, quantum dots, super-lattices, band

offsets, electronic density of states (Text 1).

8 hours

L1, L2

Module -4

Fabrication techniques: requirements of ideal semiconductor, epitaxial growth of quantum wells, lithography and etching, cleaved-edge over growth, growth of vicinal substrates, strain induced dots and wires, electrostatically induced dots and wires, Quantum well width fluctuations, thermally annealed quantum wells, semiconductor nanocrystals, colloidal quantum dots, self-assembly techniques. Physical processes: modulation doping, quantum hall effect, resonant tunneling,

charging effects, ballistic carrier transport, Inter band absorption, intraband absorption, Light emission processes, phonon bottleneck, quantum confined stark

effect, nonlinear effects, coherence and dephasing, characterization of semiconductor

nanostructures: optical electrical and structural (Text 1).

8 hours

L1, L2

Module -5

Methods of measuring properties: atomic, crystallography, microscopy, spectroscopy (Text 2). Applications: Injection lasers, quantum cascade lasers, single-photon sources, biological tagging, optical memories, coulomb blockade devices, photonic structures, QWIP’s, NEMS, MEMS (Text 1).

8 hours

L1, L2

Course outcomes: After studying this course, students will be able to: Know the principles behind Nanoscience engineering and Nanoelectronics. Apply the knowledge to prepare and characterize nanomaterials.

Know the effect of particles size on mechanical, thermal, optical and electrical properties of

nanomaterials.

Design the process flow required to fabricate state of the art transistor tech nology. Analyze the requirements for new materials and device structure in the futu re technologies.

Graduate Attributes (as per NBA): o Engineering Knowledge. Problem Analysis. Design / development of solutions (partly).

o Interpretation of data.





Reference Books: 1. Ed Robert Kelsall, Ian Hamley, Mark Geoghegan, “Nanoscale Science and Technology”, John Wiley,

2007. 2. Charles P Poole, Jr, Frank J Owens, “Introduction to Nanotechnology”, John Wiley, Copyright 2006,

Reprint 2011. 3. Ed William A Goddard III, Donald W Brenner, Sergey E. Lyshevski, Gerald J Iafrate, “Hand Book of

Nanoscience Engineering and Technology”, CRC press, 2003.

WIRELINE BROADBAND COMMUNICATIONS 3-0-0(3.0)ELECTIVE

Semester I/II




Prerequisite

Modules Teaching Hours Level

Module -1 Introduction to Telephone systems: Telephone System (POTS): The Network

Structure, Network Demarcation Points, Customer Premise Wiring, Speech Signals,

Hybrid circuits, High speed Voice band Modems. DSL Precursors (in brief): Basic

ISDN, HDSL. ADSL and VDSL: Definition and Reference Model, Capabilities and

Application.

8 Hours

(Chpt1,Text 1)

(Chpt 2,Text2)

(Chpt2,Text 1)

L1,L2

Module -2

Noise and Noise Modelling on Twisted Pair Channel: Cross Talk Models, Impulsive

noise, Noise from faults, Engineering measures, Mathematical Modeling of Crosstalk.

Basic Digital Transmission over Twisted Pair Channel: Basic Modulation and

Demodulation, Baseband codes, Passband Codes. DSL – Alternate technologies,

DSL overview, Architecture of DSL Transreceiver

8 Hours

(Chpt1, Text 1)

(Chpt 6, Text 2) L1,L2

Module -3

Overview of DSL Technology: Introduction, ADSL, VDSL, Spectrum management,

Representative DSL Transreceivers. DSL Impairments: Intersymbol Interference,

Equalization (Linear, DFE), Transmit equalization, Partial Response Channels,

Maximum Likelihood Detection.Multichannel Line Codes: Multichannel Transmission

rate and channel capacityin the presence of AWGN.Loading Algorithms: Water Filling,

Margin Adaptive,Rate Adaptive DSL,

8 Hours

(Chpt 5, Text 1)

(Chpt 7, Text 2)

(Chpt7, Text 2)

L2,L3

Module -4

Discrete Multitone: Channel Partitioning, Vector Modulation / coding, DMT, Discrete

Hartley, Transmitter Windowing, Equalization for Multichannel partitioning,

Generalized DFE, Methods 1 and 2, Training Method.ADSL T1.413 DMT Transmitter,

Peak to Average Ratio (clipping and scaling), PAR Reduction using Gatherer/Policy

method, Tellado’s tone reduction method.Use of IDFT and DFT for DMT,

Multiplexing Methods for DMT

8 Hours

(Chpt7, Text 2)

L4,L5

Module -5

ADSL - DMT Transreceiver: Reference Model as Functional Blocks, (Fig 11.2 and

11.3, Text 2)Initialization, Timing and Performance – Initialization Methods,

Adaptation of Receiver and Transmitter – Activation, Channel discovery (Gain

Initialization, Clock Synchronization, Channel analysis (Gain Estimation), Bit

allocation for Target Noise margin and Target Rate, Secondary channel

Identification, Parameter exchange.Timing Recovery Methods

8 Hours

(Chpt8, Text 2)

(Chpt11, Text 2)

L4,L5

Graduate Attributes (as per NBA): o Engineering Knowledge. Problem Analysis. Design / development of solutions (partly).

o Interpretation of data.





Reference Books:

1. Philip Golden HervéDedieu Krista Jacobsen. Fundamentals of DSL Technology. Auerbach Publications -

Taylor & Francis Group. 2006.

2. T. Starr, J.M. Cioffi, and P.J. Silverman. Understanding Digital Subscriber Line Technology. Prentice-

Hall, Upper Saddle River, NJ, 1999.

3. J.A.C. Bingham. ADSL, VDSL and Multi-Carrier Modulation. Wiley-Interscience, New York, NY,2000.

4. Philip Golden HervéDedieu Krista Jacobsen, ‘ Implementation and Application of DSL’ Auerbach

Publications -Taylor & Francis Group. 2008.

5. W.Y. Chen. DSL: Simulation Techniques and Standards Development for Digital Subscri

Lines.Macmillan, New York, 1998.

6. D. Rauschmayer. ADSL/VDSL Principles: A Practical and Precise Study of Asymmetric Digital

SubscriberLines and Very High Speed Digital Subscriber Lines. Macmillan Technical Publishing, 1998. T. Starr, M. Sorbara,J.M. Cioffi, and P.J. Silverman. DSL Advances. Prentice-Hall, Upper SaddleRiver,

NJ, 2002.

SIMULATION, MODELING AND ANALYSIS 3-0-0(3.0) Global Elective SEMESTER – I/II




Prerequisite


Understand the process of simulation and modeling

Learn simulation of deterministic and probabilistic models, with a focus of statistical data analysis and simulation

data.

Modules Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1

Basic Simulation Modeling:

Nature of simulation, Systems, Models and Simulation, Discrete- Event Simulation,

Simulation of Single Server Queuing System, Simulation of inventory system,

Parallel and distributed simulation and the high level architecture, Steps in sound

simulation study, and Other types of simulation, Advantages and disadvantages. 1.1, 1.2, 1.3, 1.4, 1.4.1, 1.4.2, 1.4.3, 1.5, 1.5.1, 1.5.2, 1.6, 1.7, 1.8, 1.9 of Text)

08 Hours L1, L2

Module -2

Review of Basic Probability and Statistics

Random Variables and their properties, Simulation Output Data and Stochastic

Processes, Estimation of Means, Variances and Correlations, Confidence Intervals

and Hypothesis tests for the Mean

Building valid, credible and appropriately detailed simulation models:

Introduction and definitions, Guidelines for determining the level of

models detail, Management’s Role in the Simulation Process, Techniques for

increasing model validity and credibility, Statistical procedure for comparing the

real world observations and simulation output data. (4.2, 4.3, 4.4, 4.5, 5.1, 5.2, 5.4, 5.5, 5.6, 5.6.1, 5.6.2 of Text)

08 Hours L1, L2,L3

Module- 3

Selecting Input Probability Distributions:

Useful probability distributions, activity I, II and III. Shifted and truncated

distributions; Specifying multivariate distribution, correlations, and stochastic

processes; Selecting the distribution in the absence of data, Models of arrival

process (6.2, 6.4, 6.5, 6.6, 6.8, 6.10, 6.11, 6.12 of Text).

08 Hours L1, L2, L3

Module -4

Random Number Generators:

Linear congruential Generators, Other kinds, Testing number generators,

Generating the Random Variates:

General approaches, Generating continuous random variates, Generating discrete

random variates, Generating random vectors, and correlated random variates;

Generating arrival processes (7.2, 7.3, 7.4, 8.2, 8.3, 8.4, 8.5, 8.6 of Text).

08 Hours L1, L2, L3

Module -5

Output data analysis for a single system:

Transient and steady state behavior of a stochastic process; Types of simulations

with regard to analysis; Statistical analysis for terminating simulation; Statistical

analysis for steady state parameters; Statistical analysis for steady state cycle

08 Hours L1, L2, L3

parameters; Multiple measures of performance, Time plots of important variables. (9.2, 9.3, 9.4, 9.4.1, 9.4.3, 9.5, 9.5.1, 9.5.2, 9.5.3, 9.6, 9.7, 9.8 of Text)

Course Outcomes:

After studying this course, students will be able to:

Define the need of simulation and modeling.

Describe various simulation models.

Discuss the process of selecting of probability distributions.

Perform output data analysis.



Problem Analysis.

Design and development of solutions.

Interpretation of data




Reference Book:

1. Averill Law, "Simulation modeling and analysis", McGraw Hill 4th edition, 2007.

2. Tayfur Altiok and Benjamin Melamed, “Simulation modeling and analysis with ARENA”,

Elsevier, Academic press, 2007.

3. Jerry Banks, "Discrete event system Simulation", Pearson, 2009

4. Seila Ceric and Tadikamalla, "Applied simulation modeling", Cengage, 2009.

5. George. S. Fishman, "Discrete event simulation", Springer, 2001.

6. Frank L. Severance, "System modeling and simulation", Wiley, 2009.

SOFTWARE DEFINED RADIO 3-0-0(3.0)ELECTIVE

SEMESTER – I/II




Prerequisite

Course Objective: The objective of this course is to make students understand the fundamental

technologies associated with software defined radio, explore with capabilities and limitations in software

and hardware implementations of SDR.

Modules

Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1

Introduction: Radio, Software defined radio, Adaptive Coding and Modulation,

Dynamic Bandwidth and Resource Allocation, Hierarchical Cellular Networks,

Cognitive Radio, Green Radio, Unexpected problems in SDR implementations,

Disadvantages of SDR, Cost and Power, Complexity, Limited Scope.

8 Hours

L1,L2,

L3,L6

Module -2

Signal Processing Architectures: GPP-Based SDR,FPGA-Based SDR, Multi-Channel

SDR 8 Hours

L1,L2,

L3,L6

Module -3

SDR Standardization: Software Communications Architecture and JTRS, STRS,

Physical Layer Description-SDRPHY 8 Hours

L1,L2,

L3,L6

Module -4

Software-Centric SDR Platforms: GNU Radio-Signal Processing blocks, Scheduler,

Basic GR Development Flow, Other All-Software Radio Frameworks

8 Hours

L1,L2,

L3,L6

Module -5

State-of-the-Art SDR Components: SDR Using Test Equipment- Transmitters,

Receivers, tunable filters, flexible antennas, MIMO Antennas. 8 Hours

L1,L2,

L3,L6

Course Outcomes: At the end of the course the student will be able to: 1. Understand the concepts of radio and software defined radio.(L1,L2)

2. Learn disadvantages of SDR and signal processing architectures associated with SDR.(L1,L2,L3)

3. Know standardizations available to develop SDR platforms.(L1,L2)

4. Understand software centric SDR platforms and blocks associated with it.(L1,L2)

5. Learn about state of the art SDR components available in the market.(L1,L2)

6. Do simple hands on experiments to demonstrate SDR.(L3,L4)



Problem Analysis.

Design and development of solutions.

Interpretation of data



question from any of the modules. The students will have to answer any 5 questions.

Reference Books:

1. Eugene Grayver: Implementing Software Defined Radio, Springer Science+Business Media New York 2013

2. Martin Ewing: The ABCs of Software Defined Radio, ARRL Inc.- 2012

Multimedia Communication 3-0-0(3.0)ELECTIVE Semester I/II




Prerequisite

Modules

Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1

Multimedia Communications: multimedia information representation, multimedia

networks, multimedia applications, network QoS and application QoS. (Ref.1 Chap. 1)

8 Hours

L1,L2

Module -2

Information Representation: text, images, audio and video, Text and image

compression, compression principles, text compression, image

compression. Audio and video compression, audio compression, video compression,

video compression principles, video compression standards:

H.261, H.263, P1.323, MPEG 1, MPEG 2, Other coding formats for text, speech,

image and video.(Ref 1 Chap 3 &4)

8 Hours

L1,L2

Module -3

Detailed Study of MPEG 4: coding of audiovisual objects, MPEG 4 systems, MPEG

4 audio and video, profiles and levels. MPEG 7

standardization process of multimedia content description, MPEG 21 multimedia

framework, Significant features of JPEG 2000, MPEG 4

transport across the Internet. (Ref2. Chap.5)

8 Hours

L1,L2

Module -4

Synchronization: Notion of synchronization, presentation requirements, reference

model for synchronization, Synchronization specification.

Multimedia operating systems, Resource management, process management

techniques. (Ref. 3. Cahp 9 & 11)

8 Hours

L1,L2

Module -5

Multimedia Communication Across Networks: Layered video coding, error

resilient video coding techniques, multimedia transport across IP

networks and relevant protocols such as RSVP, RTP, RTCP, DVMRP, multimedia in

mobile networks, multimedia in broadcast networks.

(Ref.2 Chap. 6)

8 Hours

L1,L2





Reference Books:

1. Fred Halsall, “Multimedia Communications”, Pearson education, 2001

2. K. R. Rao, Zoran S. Bojkovic, Dragorad A. Milovanovic, “Multimedia Communication Systems”,

Pearson education, 2004.

MEMS AND MICRO SYSTEMS 3-0-0(3.0) SEMESTER – I/II




Course objectives: This course will enable students to: Provide knowledge of MEMS & Microsystems devices Provide knowledge of Working Principles of Microsystems, various sensors and actuators Educate Engineering Mechanics for Microsystems Design and fabrication Understand different materials used for MEMS To educate on the rudiments of Micro fabrication techniques. Understand Microsystems Design and Fabrication.

Modules Teaching

Hours

Revised Bloom’s

Taxonomy(RBT)

Level

Module -1

Overview Of Mems & Microsystems: MEMS & Microsystems, Typical

MEMS and Micro system products — features of MEMS, The

multidisciplinary nature of Microsystems design and manufacture.

Working Principles Of Microsystems: Introduction, Micro sensors, Micro

actuation, MEMS with Micro actuators, Micro accelerometers, Microfluidics,

(Text 1: Ch. 1, 2)

08

Hours L1, L2, L3

Module -2

Engineering Science For Microsystems Design And Fabrication:

Introduction, Atomic structure of Matter, Ions and Ionization, Molecular

Theory of Matter and Intermolecular Forces, Doping of Semiconductors, The

Diffusion Process, Plasma Physics, Electrochemistry, Quantum Physics.

Materials For Mems & Microsystems: Introduction, Substrates and Wafers,

Active substrate materials, Silicon as a substrate material, Silicon

Compounds, Silicon Piezoresistors, Gallium Arsenide, Quartz, Piezoelectric

Crystals and Polymers, (Text 1: Ch 3, 7)

08

Hours

L1, L2,

L3

Module-3

Engineering Mechanics For Microsystems Design: Static Bending of Thin

Plates, Mechanical Vibration, Thermo mechanics Fracture Mechanics, Thin-

Film Mechanics, Overview of Finite Element Stress analysis, problems .

(Text 1: Ch 4)

08

Hours

L1, L2,

L3,L4

Module- 4

Thermo Fluid Engineering And Microsystems Design: Overview of Basis

of Fluid Mechanics in Macro and Mesoscales, Basic equations in Continuum

Fluid Dynamics, Laminar Fluid Flow in Circular Conduits, Computational

Fluid Dynamics, Incompressible Fluid, Flow in Micro conduits, Fluid Flow in

Sub micrometer and Nanoscale, Overview of Heat conduction in Solids, Heat

conduction in multilayered thin films and in solids in sub micrometer scale,

problems. (Text 1: Ch 5)

08

Hours L2, L3,L4.

Module 5:

Microsystem Fabrication Processes And Overview Of

Micromanufacturing:

Introduction, Photolithography, Ion Implantation, Diffusion, Oxidation,

Chemical Vapor Deposition, Physical Vapor Deposition – Sputtering,

Deposition by Epitaxy, Etching, Bulk micro manufacturing, Surface

Micromachining, The LIGA Process.

MICROSYSTEMS DESIGN

Introduction, Design Considerations, Process Design, Mechanical Design,

Mechanical Design Using Finite Element Method, Design of a Silicon Die for

a Micro pressure Sensor. (Text 1: Ch 8, 9, 10)

08

Hours L3, L4.

Course Outcomes:

After studying this course, students will be able to:

• Acquire the knowledge of MEMS & Microsystems devices

• Explain Working Principles of Microsystems, various sensors and actuators

• Apply Science and Engineering Mechanics for Microsystem Design and fabrication

• Explain different materials used for MEMS

• Apply Micro fabrication techniques.

• Explain Microsystems Design and Fabrication

Post Graduate Attributes (as per NBA): Engineering Knowledge. Problem Analysis. Design / development of solutions (partly). Interpretation of data.

Question paper pattern: The question paper will have 6 full questions carrying equal marks, one from each module with the



Reference Books: 1. Tai Ran Hsu, “MEMS and Micro Systems : Design and Manufacture”, Tata McGraw Hill, 2002

2. Maluf, M., “An Introduction to Microelectromechanical Systems Engineering”, Artech House,

Boston, 2000

3. Trimmer, W.S.N., “Micro robots and Micromechanical Systems”, Sensors & Actuators, vol. 19,

no.1989.

4. Trim, D.W., “Applied Partial Differential Equations”, PWS-Kent Publishing, Boston, 1990.

5. Madou, M. ”Fundamentals of Microfabrication”, CRC Press, Boca Raton, 1997.

6. Hsu, T.R., “The Finite Element Method in Thermomechanics”, Alien & Unwin, London, 1986.

Cryptography and Network Security 3-0-0(3.0) ELECTIVE

SEMESTER – I/II




Prerequisite

Course Objectives: Upon the completion of this course, students should have achieved the following

objectives:

Have a fundamental understanding of the objectives of cryptography and network security.

Become familiar with the cryptographic techniques that provide information and network security.

Be able to evaluate the security of communication systems, networks and protocols based

on a multitude of security metrics.

More specifically, students will gain fundamental understanding of the following

(tentative) topics:

Modules

Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1

Introduction to Information Security - Classical Cryptosystems and

Cryptanalysis, Information security objectives, Schematic of a secure

communication system, Formal definition of a cryptosystem, The shift cipher, the

substitution cipher, the affine cipher, the permutation cipher, the Hill cipher, the

Vigenere cipher, stream ciphers, Cryptanalysis – attack models, attacks on

different ciphers.

Shan non’s Approach to Cryptography- Measures of security, Perfect secrecy ,

Definition of entropy, Properties of entropy, Conditional entropy, One-time pad.

8 Hours

L1,L2

Module -2

Symmetric Key Cryptography- The notion of a symmetric key cryptography,

The Data Encryption Standard (DES) and differential cryptanalysis, The

Advanced Encryption Standard (AES)

Cryptographic Hash Functions- Definition of hash functions and properties,

The birthday problem, Unkeyed hash functions, Keyed hash functions, Message

Authentication Codes (MAC) , The Random Oracle Model (ROM). Case study.

8 Hours

L1,L2

Module -3

Authentication- Definition of authentication, A simple authentication protocol

and possible attacks, Strong password protocols , BM Encrypted Key Exchange

(EKE), Key Distribution Centers (KDC), Certification authorities and certificate

revocation, KDC based authentication protocols.

Key Distribution and Key Agreement Protocols - Key Predistribution, Diffie-

Hellman key Exchange, The MTI key Exchange. Case study

8 Hours

L1,L2

Module -4

Public Key Cryptosystems- Fundamentals of Public -key Cryptography,

Background on number theory, The RSA public key cryptosystem, The ElGamal

public key cryptosystem and discrete logs

Digital Signatures - An RSA based signature scheme, The ElGamal based

signature scheme, The Schnorr signature scheme , The Digital Signature

Algorithm (DSA). Case study

8 Hours

L1,L2

Module -5

Network Security- TCP/IP threats, The IPSEC protocol, The SSL and TLS

protocols, Firewalls and Virtual Private Networks (VPNs)

Electronic mail security- Pretty Good Privacy, S/MIME, Domain Keys

Identified Mail, Worms, DDoS attacks, BGB and security considerations. Case

8 Hours

L1,L2

study

Graduate Attributes (as per NBA)


Problem Analysis.

Design/Development of solutions




The students will have to answer any 5 questions

Reference Books:

1. William Stalling, “Cryptography and Network Security”, Pearson Education , 4th

edition 2003.

2.Behrouz A. Forouzan, “ Cryptography and Network Security “, THM, 2007

3. Atul Kahate, “Cryptography and Network Security”, THM, 2003

Communication System design using DSP algorithm 3-0-0(3.0)ELECTIVE

Semester I/II Subject Code 17ECS189/289 CIE Marks 50



Prerequisite

Modules

Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1

Introduction to the course: Digital filters, Discrete time convolution and frequency

responses, FIR filters - Using circular buffers to implement FIR filters in C and using

DSP hardware, Interfacing C and assembly functions, Linear assembly code and the

assembly optimizer. IIR filters - realization and implementation, FFT and power

spectrum estimation: DTFT window function, DFT and IDFT, FFT, Using FFT to

implement power spectrum.

8 Hours

L1,L2

Module -2

Analog modulation scheme: Amplitude Modulation - Theory, generation and

demodulation of AM, Spectrum of AM signal. Envelope detection and square law

detection. Hilbert transform and complex envelope, DSP implementation of

amplitude modulation and demodulation. DSBSC: Theory generation of DSBSC,

Demodulation, and demodulation using coherent detection and Costas loop.

Implementation of DSBSC using DSP hardware

SSB: Theory, SSB modulators, Coherent demodulator, Frequency translation,

Implementation using DSP hardware.

8 Hours

L1,L2

Module -3

Frequency modulation: Theory, Single tone FM, Narrow band FM, FM bandwidth,

FM demodulation, Discrimination and PLL methods, Implementation using DSP

hardware.

Digital Modulation scheme: PRBS, and data scramblers: Generation of PRBS, Self

synchronizing data scramblers, Implementation of PRBS and

data scramblers

8 Hours

L1,L2

Module -4

PAM and QAM: PAM theory, baseband pulse shaping and ISI, Implementation of

transmit filter and interpolation filter bank. Simulation and theoretical exercises for

PAM, Hardware exercises for PAM.

QAM fundamentals: Basic QAM transmitter, 2 constellation examples, QAM

structures using passband shaping filters, Ideal QAM demodulation, QAM

experiment. QAM receivers-Clock recovery and other frontend sub-systems.

Equalizers and carrier recovery systems. Experiment for QAM receiver frontend

8 Hours

L1,L2

Module -5

Adaptive equalizer, Phase splitting, Fractionally spaced equalizer. Decision directed

carrier tracking, Blind equalization, Complex cross coupled equalizer and carrier

tracking experiment. Echo cancellation for full duplex modems: Multicarrier

modulation, ADSL architecture, Components of simplified ADSL transmitter, A

simplified ADSL receiver, Implementing simple ADSL Transmitter and Receiver.

8 Hours

L1,L2

Graduate Attributes (as per NBA)


Problem Analysis.

Design/Development of solutions





Reference Books:

1. Robert. O. Cristi, "Modern Digital signal processing", Cengage Publishers, India, 2003.

2. S. K. Mitra, "Digital signal processing: A computer based approach", 3rd edition, TMH, India, 2007.

3. E.C. Ifeachor, and B. W. Jarvis,"Digital signal processing: A Practitioner's approach", Second

Edition, Pearson Education, India, 2002,

4. Proakis, and Manolakis, "Digital signal processing", 3rd edition, Prentice Hall, 1996.

ADVANCED IMAGE PROCESSING 3-0-0(3.0) ELECTIVE

Semester I/II

Subject code 17ECS190/290 CIE Marks 50


Total number of Lecture Hours 40 Total 100

Prerequisite

Course Objectives:

To understand the image fundamentals and mathematical transforms for image processing and to study the image

enhancement techniques

To understand the image segmentation and representation techniques.

To understand how images are analyzed to extract features of interest.

To introduce the concepts of image registration and image fusion.

To analyze the constraints in image processing when dealing with 3D data sets.

Module Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level Module 1

Introduction: What is Digital image processing, Originals of Digital

Image Processing, Examples of fields that use DIP, Fundamental steps in

Digital Image Processing, Components of an Image Processing Systems,

Digital Image Fundamentals, Elements of Visual Perception, A simple

Image Formation Model, Basic Concepts in Sampling and Quantization,

Representing Digital Images, Some basic Relationships between Pixels.

08 Hours

L1,L2,L3

Module 2

Image Enhancement in the Spatial Domain: Some basic Gray Level

Transformation, Histogram Processing, Basics of Spatial filtering, Spatial

Filters, Sharpening Spatial Filters.

Image Enhancement in the Frequency Domain: Introduction to the Fourier

Transform and the Frequency Domain, Smoothing frequency domain filters,

Homomorphic Filtering.

08 Hours

L1,L2,L3

Module 3 Image Restoration: A Model of the Image degradation/Restoration process,

Noise Models, Restoration in the presence of Noise Only—Spatial

Filtering, Periodic Noise Reduction by Frequency Domain Filtering, Linear,

Position Invariant Degradations, Inverse Filtering, Minimum Mean Square

Error (Wiener) Filtering.

08 Hours L1,L2,L3

Module 4

Color Fundamentals: Color Models, Pseudocolor Image Processing,

Basics of Full Color Image Processing, Smoothing and Sharpening, Color

Segmentation, Noise in Color Images, Color Image Compression.

Image Compression: Fundamentals, Image Compression Models, Error –

free (Lossless) Compression, Lossy Compression.

08 Hours

L1,L2,L3

Module 5

Morphological Image Processing: Preliminaries, Dilation and Erosion,

Opening and Closing, The hit or Miss Transformation, Some basic

Morphological Algorithms.

Image Segmentation: Detection of Discontinuities, Edge Linking and

Boundary Detection, Thresholding.

08 Hours

L1,L2,L3

Course Outcomes: The students should be able to: • Understand image formation and the role human visual system plays in perception of gray and color image data. • Apply image processing techniques in both the spatial and frequency (Fourier) domains. • Design image analysis techniques in the form of image segmentation and to evaluate the Methodologies for

segmentation. • Conduct independent study and analysis of feature extraction techniques. • Understand the concepts of image registration and image fusion. • Analyze the constraints in image processing when dealing with 3D data sets and to apply

image • Apply algorithms in practical applications.

Post Graduate Attributes (as per NBA): Engineering Knowledge. Problem Analysis. Design / development of solutions (partly). Interpretation of data.


The question paper will have 6 full questions carrying equal marks one from each module with the sixth question

from any of the modules.


Reference Books:

1. Rafael C Gonzalez and Richard E. Woods: Digital Image Processing, PHI 2nd

Edition 2005.

2. S. Sridhar : Digital Image Processing, Oxford University Press India, 2011.

3. A.K. Jain: Fundamentals of Digital Image Processing, Pearson, 2004.

4. Scott E. Umbaugh: Digital Image Processing and Analysis, CRC press, 2014.

5. S.Jayaraman, S. Esakkirajan, T. Veerakumar:Digtial Image Processing, McGraw Hill Ed. (India) Pvt.

Ltd., 2013.

Sensors and its Applications 3-0-0(3.0) Global Elective SEMESTER – I/II




Prerequisite

Course objectives: This course will enable students to: Provide the knowledge of sensing and sensor fundamentals Understand the Sensor Technology Components: Hardware and Software Understand the sensor Deployments for Home and Community Settings: Provide knowledge of Body-Worn, Ambient, and Consumer Sensing for Health Applications and

Environmental Monitoring for Health and Wellness. Provide knowledge of Optical Fiber Sensors for Civil Engineering Applications Understand Flow Sensors and applications.

Modules Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1

Introduction: A Brief History of Sensors: Drivers for Sensor Applications. Challenges

for Sensor Applications. Sensors Enabling Innovation

Sensing and Sensor Fundamentals: What Is a Sensor and What Is Sensing?

Introduction to the Key Sensing Modalities Mechanical Sensors Optical Sensors,

Semiconductor Sensors, Electrochemical Sensors, Biosensors, Application Domains,

Sensor Characteristics.(Text 1: Ch. 1,2)

08

Hours L1, L2,

L3

Module -2

Key Sensor Technology Components: Hardware and Software Overview: Smart

Sensors, Sensor Platforms, Microcontrollers for Smart Sensors, Interfaces and Embedded

Communications, Sensor Communications, Power Management and Energy Harvesting,

Microcontroller Software

Sensor Deployments for Home and Community Settings: Healthcare Domain

Challenges, Study Design, Home Deployment Elements, Home Deployment

Management, Remote Deployment Framework, The Prototyping Design Process, Data

Analytics and Intelligent Data Processing, Case Studies(Text 1: Ch. 3,8)

08

Hours

L1, L2,

L3

Module-3

Body-Worn, Ambient, and Consumer Sensing for Health Applications: Changing

the Way We Do Healthcare, Sensing Context in Health Applications, Hospital and

Community-Based Sensing for Assessment and Diagnosis, Community-Based Sensing,

Home-Based Clinical Applications, Self-care Diagnostic Test Kits

Environmental Monitoring for Health and Wellness: Drivers of Environmental

Sensing, Barriers to Adoption, Environmental Parameters, Water Quality Monitoring,

Radiation Sensing, Environmental Impact on Food(Text 1: Ch. 9,11)

08

Hours L1, L2,

L3

Module- 4

Distributed Optical Fiber Sensors for Civil Engineering Applications:. Introduction, Fiber Optic Sensors, Civil Engineering SHM Applications with DOFS,

(Reference 1)

08

Hours L1, L2,

L3

Module- 5

Flow Sensors: Introduction to Microfluidics and Applications for Micro Flow

Sensors ,Thermal Flow Sensors , Research Devices ,Commercial Devices , Pressure

Difference Flow Sensors , Force Transfer Flow Sensors , Drag Force , Lift Force ,

Coriolis Force ,Static Turbine Flow Meter ,Non thermal Time of Flight Flow Sensors

,Electro hydrodynamic, Electrochemical , Flow Sensor Based on the Faraday

Principle ,Flow Sensor Based on the Periodic Flapping Motion ,Flow Imaging,

08

Hours

L1, L2,

L3

Optical Flow Measurement , Fluid Velocity Measurement , Particle Detection and

Counting , Multiphase Flow Detection , Turbulent Flow Studies (Text 2: Ch. 9)


Acquire the knowledge of sensing and sensor fundamentals

Explain the Sensor Technology Components: Hardware and Software

Explain the sensor Deployments for Home and Community Settings:

Acquire knowledge of Body-Worn, Ambient, and Consumer Sensing for Health Applications and Environmental

Monitoring for Health and Wellness

Acquire the knowledge of Optical Fiber Sensors for Civil Engineering Applications.

Explain Flow Sensors and applications.


Engineering Knowledge. Problem Analysis. Design / development of solutions (partly). Interpretation of data.

Question paper pattern: The question paper will have 6 full questions carrying equal marks, one from each module with the sixth question

from any of the modules. The students will have to answer any 5 questions.

Reference Books: 1. Michael J. McGrath and CliodhnaNíScanaill”Sensor Technologies: Healthcare, Wellness, and Environmental

Applications” Copyright © 2014 by Apress Media, LLC. 2. Stephen Beeby Graham Ensell Michael Kraft Neil White “MEMS Mechanical Sensors” © 2004 ARTECH

HOUSE, INC. 685 Canton Street Norwood, MA 02062 3. AntónioBarrias Joan R. Casas and SergiVillalba “Distributed Optical Fiber Sensors forCivil Engineering

Applications” Published: 23 May 2016.

CMOS VLSI Design and Testing 3-0-0(3.0)ELECTIVE SEMESTER – I/II




Prerequisite

Course Objectives: The student will learn

1. The MOS device behaviour in Subthrehold region

2. All the non-ideal characteristics of the MOSFET

3. To estimate delay, power and do Transistor sizing

4. Designing the building blocks of VLSI

5. Designing different types of memory

6. Different testing and Verification methods followed for VLSI Chips

Modules Teaching

Hours

Revised

Bloom’s

Taxonomy

(RBT)

Level

Module -1

MOS Transistor Theory: Introduction, Ideal V-I Characteristics, C-V

Characteristics, Non-ideal V-I Effects, DC Transfer Characteristics, Switch-

level RC Delay Models

8 hours ( L1, L2)

Module -2

Introduction, Circuit Characterization and Performance Estimation: Delay

Estimation, Logical Effort and Transistor Sizing, Power Dissipation,

Interconnect, Design Margin, Reliability, Scaling

8 hours

(L3, L4)

Module -3

Introduction, Data-path Subsystems: Addition/Subtraction, one/zero

Detectors, comparators, counters, Boolean Logic Operation, Coding, Shifters,

Multiplication, Division

8 hours (L1, L2)

Module -4

Array Subsystems: Introduction, SRAM, DRAM, Read-only Memory, Serial

Access Memory, Content Addressable Memory, PLAs, Array Yield,

Reliability, and Self-test

8 hours (L1, L2)

Module -5

Testing and Verification: Introduction, Logic Verification, Basic Design

Debugging Hints, Manufacturing Tests, Testers and Test Fixtures and Test

Programs, Logic Verification Principles, Silicon Debug Principles,

Manufacturing Test Principles, Design for Testability, Boundary Scan.

8 hours (L3, L4)

Course Outcomes: After studying this course the student will be able to

1. Analyse the VLSI circuit behaviour

2. Debug the circuit and find possible fault in VLSI circuit

3. Find out the delay in any VLSI Circuit

4. Estimate the power consumed and so to do design changes to minimize power

5. Design VLSI systems by making use of the basic building blocks

6. Testing and verifying the design for their correctness

Graduate Attributes (as per NBA):


Problem Analysis.

Design / development of solutions

Interpretation of data.





Reference Books:

1. Neil H E Weste, David Harris, Ayan Banerjee, CMOS VLSI Design – A Circuit and Systems

Perspective- Pearson Education

2. Wayne Wolf Modern VLSI Design – Systems on Silicon -, Perason Education

3. Eugene D Fabricius Introduction to VLSI Design –, McGraw Hill

4. Douglas A Pucknell Basic VLSI Design , Kamran Eshraghian, PHI

3 0 0 3 - malnad college of engineeringmcehassan.ac.in/department/ec/files/m.tech syllabus...

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