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UNIVERSITY OF CALICUT

SCHEME AND SYLLABUS FOR

M.Tech.

in

COMMUNICATION ENGINEERING

(ELECTRONICS & COMMUNICATION ENGINEERING)

(2011 Admission onwards)

Scheme of M.Tech Programme in

Communication Engineering

SEMESTER 1

Hours perMarks

week

Sl. Course

Subject

Total Credits

No Code

L T P ICA ESE

.

1 ECE10 Probability and Stochastic 3 1 - 100 100 200 4

101 Processes

2 ECE 10 Digital Communication 3 1 - 100 100 200 4

102 Techniques

3 ECE 10 Wireless Mobile Networks 3 1 - 100 100 200 4

103

4 ECE 10 Advanced Digital Signal 3 1 - 100 100 200 4

104 Processing

5 ECE 10 Elective-I 3 1 - 100 100 200 4

105

6 ECE 10 Signal Processing Laboratory - - 2 100 - 100 2

106(P)

7 ECE 10 Seminar - - 2 100 - 100 2

107(P)

TOTAL 15 5 4 700 500 1200 24

L-Lecture T-Tutorial P-Practical ICA-Internal Continuous Assessment ESE-End Semester Examination ELECTIVE-I ECE10 105 (A) - Optimisation Techniques ECE 10 105 (B)- OFDM for Wireless Communication

ECE 10 105 (C)- RF MEMS ECE 10 105 (D) - Advances in data and Computer Communication Note: 6 hours/week is meant for departmental assistance by students. Note: Each student has to undertake the departmental work assigned by the Head of Department

SEMESTER II

Hours per week Marks

SL Code Subject

Total Credits

L T P/D

N0

ICA ECE

1 ECE Advanced Information & 3 1 - 100 100 200 4

10 201 Coding theory

2 ECE CDMA- Technology 200

10 202 3 1 - 100 100 4

3 ECE Advanced Optical 200

10 203 Communication Systems 3 1 - 100 100 4

4 ECE 200

10 204 Elective-II 3 1 - 100 100 4

5 ECE 200

10 205 Elective-III 3 1 - 100 100 4

6 Communication Design

ECE and Simulation 100

Laboratory

10

206(P) - - 2 100 - 2

7 ECE

10 100

207(P) Seminar - - 2 100 - 2

TOTAL 15 5 4 700 500 1200 24

L-Lecture; T-Tutorial; P-Practical; ICA-Internal Continuous Assessment; ESE-End Semester

Examination

ELECTIVE-II ECE10 204 (A)- Multirate Signal Processing ECE10 204 (B) - Smart antennas ECE10 204 (C) -Transform Theory ECE10 204 (D) - Communication Switching and Multiplexing ELECTIVE-III ECE10 205 (A) - Personal Wireless Networks and Mobile Computing ECE10 205 (B) - Detection and Estimation ECE10 205 (C) – Designing with ASICs ECE10 205 (D)- RF Design of Communication Systems Note: 6 hours/week is meant for departmental assistance by students. Note: Each student has to undertake the departmental work assigned by the Head of Department

SEMESTER III

SL Code Subject

Hours per week Marks Total Credits

No

Marks

L T P/D ICA ESE

1 ECE Elective-IV 3 1 - 100

100 200 4

10 301

2 ECE Elective-V 3 1 - 100

100 200 4

10 302

3 ECE

10 Industrial Training - - 50 - 50 1

303(P)

ECE Masters Research Guide EC*

10 - - 22 - 300 6

Project(Phase -I)

304(P) 150 150

TOTAL 6 2 52 550 200 750 15

L=Lecture; T=Tutorial; P-Practical; ICA-Internal Continuous Assessment; ESE=End Semester Examination *EC – Evaluation Committee

ELECTIVE-IV

ECE10 301 (A) - Signal Compression

ECE10 301 (B) - Advanced techniques for wireless reception ECE10 301 (C) -– Secure Communication ECE10 301 (D)-Adaptive Signal Processing

ELECTIVE-V

ECE10 302 (A) - Markov Modeling and Queueing Theory ECE10 302 (B) - Space Time Coding and MIMO Systems ECE10 302 (C) -– Spectrum analysis Techniques ECE10 302 (D)-New Generation Networks

Note: 6 hours/week is meant for departmental assistance by students. Note: Each student has to undertake the departmental work assigned by the Head of Department

SEMESTER IV Hours per

Internal MarksSem-end

week exam. Total

Code

Subject

Credits

Marks

L T P/D GuideEvaluation Extl. Viva-

committee Guide Voce

ECE 10 Masters Research

Project (Phase - - - 30 150 150 150 150 600 12

401(P)

II)

TOTAL 30 150 150 150 150 600 12

Note: 6 hours/week is meant for departmental assistance by students. Note: Each student has to undertake the departmental work assigned by the Head of Department

SEMESTER I

ECE10 101 Probability and Stochastic Processes Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: This course provides further studies on Probability and Stochastic processes which has

wide areas of application in communication engineering. Module I ( 13 hours)

Vector space, Inner product space, norm, Hilbert spaces. Projection theorem. Separable

Hilbert spaces and orthonormal bases. Linear functionals. Riesz representation theorem.

Probability spaces. Random variables and random vectors. Distributions and densities.

Module II (13 hours)

Statistical independence. Expectations, moments and characteristic functions.

Infinite sequences of random variables. Convergence concepts. Laws of large numbers.

Radon-Nikodym theorem. Conditional expectations given a σ-field and a random

vector. Jensen’s inequality.

Module III (14 hours)

Stochastic processes. Separability and measurability. Continuity concepts. Gaussian

processes and Wiener processes. Second order processes. Covariance functions and their

properties. Linear operations and second order calculus, orthogonal expansions.

Stationarity in the strict and wide senses. Ergodicity in the q.m.sense. Wide sense stationary

processes.

Module IV (13 hours)

Herglotz’s and Bochner’s theorems. Spectral representation. L2- stochastic integrals. Spectral

decomposition theorem. Low-pass and band-pass processes. White noise and white-noise

integrals. Reference Books:

1. A.Papoulis, S.U.Pillai, “Proabability, Random variables and Stochastic processes” 4th edition Tata-Mc Hill (4/e) ,2001

2. R.B.Ash & C.Doleans-Dade, Probability and Measure Theory (2/e), Elsevier, 2005 3. E.Wong & B.Hajek, Stochastic Processes in Engineering systems, Springer, 1985 4. R.B.Ash & W.A.Gardner, Topics in stochastic processes, Academic Press, 1975. 5. Stakgold, I., Green’s Functions and Boundary value Problems (e), Wiley,1998

Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced right at the beginning of the semester by the teacher.

End semester Examination: 100 marks

Question pattern Answer any 5 questions by choosing at least one question from each module. Module I Question 1: 20 marks Question 2: 20 marks Module II Question 3: 20 marks Question 4: 20 marks Module III Question 5: 20 marks Question 6: 20 marks Module IV Question 7: 20 marks Question 8: 20 marks

ECE 10 102 Digital Communication Techniques

Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective:

This course introduces the theoretical background needed to understand digital communication techniques. The main emphasis is on digital transmission via additive white

Gaussian noise channels, synchronization aspects of communication systems and communication over band limited channels.

Module I: (12 hours) Random Variables and Processes: Review of Random variable: Moment generating function, Chernoff bound, Markov,s inequality, Chebyshev’s inequality, Central Limit Theorem, Chi square, Rayleigh and Rician distributions, Correlation, Covariance matrix - Stationary processes, wide sense stationary processes, ergodic process, cross correlation and autocorrelation functions-Gaussian process Module II: (16 hours) Communication over Additive Gaussian Noise Channels Characterization of Communication Signals and Systems- Signal space representation-Connecting Linear Vector Space to Physical Waveform Space- Scalar and Vector Communication over Memory less Channels. Optimum waveform receiver in additive white Gaussian noise (AWGN) channels - Cross correlation receiver, Matched filter receiver and error probabilities. Optimum Receiver for Signals with random phase in AWGN Channels-Optimum receiver for Binary Signals- Optimum receiver for M-ary orthogonal signals-Probability of error for envelope detection of M-ary Orthogonal signals. Optimum waveform receiver for coloured Gaussian noise channels- Karhunen Loeve expansion approach,whitening. Module III: (14 hours) Synchronization in Communication Systems Carrier Recovery and Symbol Synchronization in Signal Demodulation- Carrier Phase Estimation- Effect of additive noise on the phase estimate- Maximum Likelihood phase estimation- Symbol Timing Estimation- Maximum Likelihood timing estimation- Receiver structure with phase and timing recovery-Joint Estimation of Carrier phase and Symbol Timing-Frequency offset estimation and tracking. Module IV: (11 hours) Communication over Band limited Channels Communication over band limited Channels- Optimum pulse shaping- Nyquist criterion for zero ISI, partial response signaling- Equalization Techniques- Zero forcing linear Equalization-Decision feedback equalization- Adaptive Equalization. Reference Books:

1. John G. Proakis, Digital Communication, McGraw Hill, 4TH edition, 1995. 2. Edward. A. Lee and David. G. Messerschmitt, Digital Communication, Allied Publishers (second

edition). 3. J Marvin.K.Simon, Sami. M. Hinedi and William. C. Lindsey, Digital Communication Techniques, PHI. 4. William Feller, An introduction to Probability Theory and its applications, Vol 11, Wiley 2000. 5. Sheldon.M.Ross, Introduction to Probability Models, Academic Press, 7th edition.




ECE 10 103 Wireless Mobile Networks Teaching scheme: Credits: 4

3hours lecture & 1 hour tutorial per week Objective: The course is to introduce various mobile networks and their basic architecture starting from 2G through to 3G. Module 1 (13 hours)

Introduction to Personal Communication Services (PCS): PCS architecture, Mobility

management, Networks signalling.

Global system for Mobile Communication (GSM) system overview: GSM Architecture,

Mobility Management, Network signalling.

Module 2 (13 hours)

General Packet Radio Services (GPRS): GPRS architecture, GPRS Network nodes.

Mobile Data Communication: WLANs (Wireless LANs) IEEE 802.11 standard, Mobile IP.

Module 3 (13 hours)

Wireless Application Protocol (WAP): The Mobile Internet standard, WAP Gateway and

Protocols, Wireless Markup Languages (WML)

Third Generation (3G) Mobile Services: Introduction to International Mobile

Telecommunications 2000 (IMT 2000) vision, Wideband Code Division Multiple Access (W-

CDMA), and CDMA 2000, Quality of services in 3G.

Module 4 (14 hours)

Wireless local Loop (WLL): Introduction to WLL architecture, WLL technologies.

Global Mobile Satellite Systems: Case studies of IRIDIUM and GLOBALSTAR systems.

Bluetooth technology and Wi-Max References: 1. “Wireless and mobile Networks Architecture,” by Yi –Bing Lin & Imrich Chlamatac, John Wiley

& Sons, 2001. 2. “Mobile & Personnel communication Systems and Services”, By Raj Pandya, Prentice Hall India,

2001. 3. “Wireless Communication- Principles and practices,” 2nd Ed., Theodore S. Rappaport, Pearson

Education Pvt. Ltd, 2003. 4. “Mobile communications,” Jochen Schiller, Pearson Education Pvt. Ltd., 2002. 5. “The Wireless Application Protocol,” Singhal & Bridgman et. al., Pearson Education, 2004.

Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per

subject. The assessment details are to be announced right at the beginning of the semester by the teacher.



ECE 10 104 Advanced Digital Signal Processing Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: This course provides ideas of DSP techniques and some algorithms and estimation techniques which will help the students to deal with varios audio and image processing Module I(13 hours) Review of sampling theory. Sampling rate conversion by integer and rational factors. Efficient realization and applications of sampling rate conversion. Wiener filtering. Optimum linear prediction. Levinson- Durbin algorithm. Prediction error filters. Module II(14 hours) Adaptive filters. FIR adaptive LMS algorithm. Convergence of adaptive algorithms. Fast algorithms. Applications; Noise canceller, echo canceller and equalizer. Module II1 (13 hours)

Recursive least–squares algorithms. Matrix inversion lemma. Convergence analysis of the RLS algorithm. Adaptive beam forming. Kalman filtering. Module 1V (13 hours) Spectrum estimation. Estimation of autocorrelation. Periodogram method. Nonparametric methods. Parametric methods. Reference Books:

1. J.G.Proakis et al, Advanced Digital Signal Processing, McGraw –Hill,1992 2. S.Haykin, Adaptive Filter Theory (3/e), Prentice- Hall,1996 3. D.G.Manolakis et al, Statistical and Adaptive Signal Processing, McGraw-Hill,2005 4. Marple, Spectral Analysis, 5. M.H.Hays, Statistical Digital Signal Processing and Modeling, John-Wiley.




ECE10 105(A): Optimisation Techniques Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: The aim of this course is to expose students to various deterministic optimization tools and

techniques. The course generally covers topics such as: an overview of mathematical modelling, linear and non linear programming and various constrained & unconstrained optimization techniques which will be useful for engineering applications. Module I: (13Hours) Mathematical Background: Sequences and Subsequences- Mapping and functions -Continuous functions- Infimum and Supremum of functions- Minima and maxima of functions-Differentiable functions. Vectors and vector spaces- Matrices- Linear transformation- Quadratic forms - Definite quadratic forms- Gradient and Hessian- Linear equations- Solution of a set of linear equations-Basic solution and degeneracy. Convex sets and Convex cones - Introduction and preliminary definition- Convex sets and properties-Convex Hulls- Extreme point- Separation and support of convex sets- Convex Polytopes and Polyhedra- Convex cones- Convex and concave functions- Basic properties- Differentiable convex functions- Generalization of convex functions. Module II: (14 hours) Linear Programming: Introduction -Optimization model, formulation and applications - Classical optimization techniques: Single and multi variable problems-Types of constraints. Linear optimization algorithms: The simplex method -Basic solution and extreme point - Degeneracy-The primal simplex method -Dual linear programs - Primal, dual, and duality theory - The dual simplex method -The primal-dual algorithm-Duality applications. Post optimization problems: Sensitivity analysis and parametric programming Module III: (14 hours) Nonlinear Programming: Minimization and maximization of convex functions- Local & Global optimum - Convergence-Speed of convergence. Unconstrained optimization: One dimensional minimization - Elimination methods: Fibonacci & Golden section search - Gradient methods - Steepest descent method. Constrained optimization: Constrained optimization with equality and inequality constraints. Kelley's convex cutting plane algorithm - Gradient projection method - Penalty Function methods. Module IV: (12 Hours) Constrained optimization: Lagrangian method - Sufficiency conditions - Kuhn-Tucker optimality conditions- Rate of convergence - Engineering applications Quadratic programming problems-Convex programming problems. References: 1. David G Luenberger, Linear and Non Linear Programming, 2nd Ed, Addison-Wesley.

2. S.S.Rao, Engineering Optimization.; Theory and Practice; Revised 3rd Edition, New Age International Publishers, New Delhi 3. S.M. Sinha, Mathematical programming: Theory and Methods, Elsevier, 2006. 4. Hillier and Lieberman Introduction to Operations Research, McGraw-Hill, 8th edition, 2005. 5. Saul I Gass, Linear programming, McGraw-Hill, 5th edition, 2005. 6. Bazarra M.S., Sherali H.D. & Shetty C.M., Nonlinear Programming Theory and Algorithms, John Wiley, New York, 1979.

6. Kalyanmoy Deb, Optimization for Engineering: Design-Algorithms and Examples,Prentice Hall (India), 1998.




ECE10 105(B) OFDM for Wireless Communication Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: The aim of the paper is to introduce to the students the basics of OFDM scheme used in wireless communication. The students will be introduced with the applications also.

Module 1 (13 hours) OFDM Basics: Introduction to Wireless OFDM – OFDM principles, system model – Generation of sub carrier using IFFT, Guard time and cyclic extension, windowing, choice of OFDM parameters, OFDM signal processing. Module 2 (13 hours) Coding and Modulation: Introduction – Forward error correcting coding – Interleaving – Quadrature Amplitude modulation – Coded modulation – Synchronization – sensitivity to phase noise and frequency offset and timing errors – Synchronization using cyclic extension and special training symbols. Module 3 (14 hours) Channel estimation for OFDM system: Coherent and Differential Detection – Coherent detection – one and two dimensional channel estimators, special training symbols, Decision directed channel estimation –Differential detection – Differential detection in the time and frequency domain – Differential amplitude and phase shift keying. Orthogonal Frequency Division Multiple Access: Frequency hopping in OFDMA, Difference between OFDMA and MC-CDMA. OFDMA system description – channel coding, modulation, Time and Frequency synchronization, Initial modulation timing and frequency offset synchronization accuracy, power control, random frequency hopping operation – Dynamic channel allocation (simple and fast) – capacity of OFDMA. Module 4 (13 hours) Application of OFDMA: Digital Audio Broadcasting – Front end Impairments in the OFDM modem – system simulation tools – Analysis and simulation of the main front end effects – Terrestrial digital video broadcasting – Magic wand (Wireless ATM project). IEEE 802.11, Hyper LAN/ 2 and MMAC, Wireless LAN standards – OFDM parameters, channelization, OFDM signal processing, Training, Difference between IEEE 802.11, Hyper LAN/ 2 and MMAC. References:

1 Richard Van Nee and Ranjee Prasad, “OFDM for Wireless Multimedia Communication”, Artech House, 2000.

2. Mare Engels, “Wireless OFDM systems”, Klumer Academic publishers, 2002.

3. Prasad. R, “Universal Wireless Personnel Communications”, Artech House, 1998.

Internal continuous assessment: 100 marks

Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced right at the beginning of the semester by the teacher.



ECE 105(C) RF MEMS

Teaching scheme: Credits: 4

3hours lecture & 1 hour tutorial per week Objective: The course focuses on RF mem components like relays, switches,inductors, capacitors, filters, antennas etc.At the end of the course student will get an idea about RF mems their advantages, applications. . Module 1 (13 hours) RF MEMS relays and switches. Switch parameters. Actuation mechanisms. Bistable relays and micro actuators. Dynamics of switching operation. Module 2 (13 hours) MEMS inductors and capacitors. Micromachined inductor. Effect of inductor layout.

Modeling and design issues of planar inductor. Gap tuning and area tuning

capacitors. Dielectric tunable capacitors.

Module 3 (14 hours) Micromachined RF filters. Modeling of mechanical filters. Electrostatic comb drive.

Micromechanical filters using comb drives. Electrostatic coupled beam structures.

MEMS phase shifters. Types. Limitations. Switched delay lines. Micromachined

transmission lines. Coplanar lines. Micromachined directional coupler and mixer.

Module 4 (13 hours) Micromachined antennas. Microstrip antennas – design parameters. Micromachining to

improve performance. Reconfigurable antennas.

References:

1. H.J.D.Santos, RF MEMS Circuit Design for Wireless Communications, Artech House

, 2002.

2. G.M.Rebeiz , RF MEMS Theory , Design and Technology, wiley , 2003. 3. V.K.Varadan etal, RF MEMS and their Applications, Wiley,2003



Question pattern Answer any 5 questions by choosing at least one question from each module. Module I Question 1: 20 marks Question 2: 20 marks Module II

Question 3: 20 marks Question 4: 20 marks Module III Question 5: 20 marks Question 6: 20 marks Module IV Question 7: 20 marks Question 8: 20 marks

ECE 105(D) Advances in Data & Computer Communications Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: The objective of the paper is to facilitate the student with the advances in the area data communications and computer network aspects that are required for his understanding of protocols used in wireless communications and lay emphasis on principles and methods used in wireless systems. The prerequisites are to have basic understanding of data networks and computer networks. Module 1: (13 hours) Introduction to Network models ISO – OSI, SNA, and AppleTalk and TCP/IP models. LAN Standards: Ethernet (IEEE 802.3), Over View of Token ring and Token Bus, Wireless LAN standard (IEEE 802.11 b/a/g) Module 2: (13 hours) WAN Standards: X.25, Frame Relay, and ATM Class full and Classless IP Addresses, ARP and RARP, IPv4, and IPv6, RIP, OSPF and BGP Module 3: (13 hours) User Datagram Protocol (UDP), Transmission Control Protocol (TCP) and Stream Controlled Transmission Protocol (SCTP) Overview of WWW, DNS, e-mail, SNMP, RMON Module 4: (14 hours) Cryptography, Firewalls, Secure Socket Layer (SSL), Security at different layers in application Layer Protocols, and Virtual Private Networks (VPN) References:

1. Behrouz A. Forouzan, “TCP/IP Protocol Suit”, TMH, 2000 2. Wayne Tomasi, “Introduction to Data communications and Networking”, Pearson Ed. 2007 3. Tananbaum A. S., “Computer Networks”, 3rd Ed., PHI, 1999 4. Black U, “Computer Networks-Protocols, Standards and Interfaces”, PHI, 1996 5. Stallings W., “Data and Computer Communications”, 6th Ed., PHI, 2002. 6. Stallings W., “SNMP, SNMPv2, SNMPv3, RMON 1 & 2”, 3rd Ed., Addison Wesley, 1999 7. Laurra Chappell (Ed), “Introduction to Cisco Router Configuration”, Techmedia




ECE 10 106(P): Signal Processing Lab Hours per week: 2 hours practical Credits: 2

Simulation Experiments

1. FIR filter design 2. IIR filter design 3. Spectral analysis of speech signals 4. Speech processing based on LPC 5. Power spectral density estimation 6. Multirate signal processing:-Interpolation and decimation, filter bank design 7. Adaptive signal processing:-LMS and RLS algorithm implementation for a

selected application

8. Wavelet transform implementation 9. Image processing-evaluation of histogram and histogram equalization

Experiments with DSP kit TMS 320CXX/AD/equivalent

10. Basics of assembler and C-cross compiler 11. Real time FIR/IIR filtering 12. DTMF signal generation and detection with DSP algorithms

Mini Project (Compulsory) Student has to do a mini project on a topic approved by a 3 member committee and submit two copies of project report and an assessment will be conducted by the committee. Internal continuous assessment: 100 marks Internal continuous assessment will be as follows. Continuous Evaluation (Assessment of individual Experiments): 30 Mini Project (Demonstration, Report & Viva): 30 End Semester Exam (Practical Test & Viva): 40

ECE10 107(P): SEMINAR Hours per week: 2 hours practical Credits: 2 Objective: To assess the debating capability of the student to present a technical topic. Also to impart training to a student to face audience and present his/her ideas and thus creating self esteem and courage that are essential for an engineer. Individual students are required to choose a topic of their interest preferably from outside the M.Tech syllabus and give a seminar on that topic about 45 minutes. A committee consisting of at least three faculty members shall assess the presentation of the seminar and award marks to the students based on merits of topic of repesentation. Each student shall submit two copies of a write up of the seminar topic. One copy shall be returned to the student after duly certifying it by the chairman of the assessing committee and the other will be kept in the departmental library. Internal continuous assessment marks are awarded based on the relevance of the topic, presentation skill, quality of the report and participation. Internal Continuous Assessment (Maximum Marks-100) Presentation +Discussion : 60 Relevance + Literature : 10 Report : 20 Participation : 10 Total marks : 100

SEMESTER II

ECE 10 201 Advanced Information & Coding Theory Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: The objective of the paper is to facilitate the student with the understanding of how

information is measured. Further the student is made to understand the advances in Information theory. Coding methods transmitting the information with out errors are studied. The student will be introduced with the advances in Coding theory. Module 1 (15 hours) Overview of Information Theory (Random variables, Entropy, Conditional Entropy, Relative Entropy, Mutual Entropy, Channel Capacity, Channel Coding Theorem (without proof) and its implication). Discrete Entropy: Entropy, Uniqueness of Entropy Function, Joint Entropy, Conditional Entropy, Relative Entropy and Mutual Information, Chain rules (for Entropy, Relative Entropy and Mutual Information), Jensen’s Inequality, Log sum inequality, Fano’s inequality, Asymptotic Equipartition Property (AEP), High probability and the typical set, Markov Chains, Entropy rate, Hidden Markov Model. Differential Entropy: AEP for Continuous Random Variables, Differential Entropy; Joint, Conditional, Relative, and Mutual Differential Entropy, Differential Entropy Bounds on Discrete Entropy; Gaussian Channel, Maximum Entropy and Spectral Estimation Module 2 (12 hours) Rate Distortion Theory and Network Information Theory: Quantization, Rate Distribution Function, Rate Distribution Theorem, Strongly Typical Sequences, Channel Capacity and the Rate Distortion Function. Gaussian Multiple User Channels, Jointly Typical Sequences, Multiple

Access Channel, Encoding of Correlated Sources, Duality between Slepian – Wolf encoding and Multiple Access Channels, Broadcast Channel, Relay Channel, Source Encoding with side information, Rate Distortion with Side Information. Module 3 (13 hours) Groups (Definition and properties, Subgroups, Cyclic groups and order, Cosets, Lagrange’s theorem, Isomorphism, Homomorphism), Linear Algebra (Vector Spaces, Independence, Basis, dimension, inner product, dual space, orthogonality), Rings (Definition, Polynomials, Quotient Rings, Ideals); Number Theory and Algebra (Divisibility, Euclidean Algorithm, Sugiyama Algorithm, Congruences, φ function, Chinese Remainder Theorem, Fields over R and C, Galois Fields, Galois Field Arithmetic, Irreducible and Primitive Polynomials, Krawtchouk Polynomials). Module 4 (13 hours) Turbo Codes – Encoding parallel concatenated codes, decoding algorithms, Error Floor and Weight Distribution. Low Density Parity Check Codes – Construction, Tanner graphs, Decoding. Space Time Coding – Fading Channels, Rayleigh Fading, MIMO Channel, Space Time Block Codes, Space – Time Trellis Codes. Soft Decision and Iterative Decoding-Soft decision Viterbi algorithm- Two way APP decoding-Low density parity check codes- Turbo codes-Turbo decoding Reference Books:

1. T. M. Cover and J. A. Thomas, “Elements of Information Theory”, Wiley, 1991.

2. F. M. Reza, “An Introduction to Information Theory”, Dover, 1994. 3. R. B. Ash, “Information Theory”, Dover, 1990. 4. R. M. Gray, “Entropy and Information Theory”, Springer-Verlag, 1990. 5. W. C. Huffman and V. Pless, “Fundamentals of Error – Correcting Codes”, CUP, 2003. 6. S. Lin and D. J. Costello, “Error Control Coding: Fundamentals and Application”, 1983.



Question pattern Answer any 5 questions by choosing at least one question from each module. Module I

Question 1: 20 marks Question 2: 20 marks Module II Question 3: 20 marks Question 4: 20 marks Module III Question 5: 20 marks Question 6: 20 marks Module IV Question 7: 20 marks Question 8: 20 marks

ECE 10 202 CDMA Technology Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: Gives a detailed concepts of CDMA technology and this course will be helpful for the student to

understand various communication schemes employing this technology Module 1 (13 hours) The CDMA concept: Need for spread spectrum communication – Spreading codes – Direct sequence and Frequency hopping spread spectrum communication system – Spread spectrum performance – Basic DS CDMA – Elements – RAKE receiver – Power control – Soft handover – Inter frequency handover – Multi user detection – Capacity – Effects of loading, sectorisation and voice activity. Module 2 (13 hours) Link structure and Call processing: Asymmetric links - Forward link – Pilot channel – Sync channel – Paging channel – Traffic channel – Modulator – Reversing access channel – Traffic channel – Call processing states – Initialization state – Idle state – Access state – Traffic channel state. Module 3 (13 hours) CDMA Design Engineering: Forward Link analysis – Pilot channel – Traffic channel – Reverse link – Traffic channel – Reverse link rise – Frequency reuse factor - PN offset planning – Short PN sequence – Co PN offset – Adjacent PN offset.

Module 4 (14 hours) CDMA Performance and Traffic engineering: Channel supervision-Power control parameters - Search window sizes - Field optimization – Traffic intensity – Loads – Grade of service – Earlang–B Model - Earlang–C Model – CDMA applications – Soft and hard blocking. UNIT V 8 Hours Next Generation CDMA: Physical channel – Multirate design – Spreading technique – Advanced error control techniques – Coherent detection – Inter operability in next generation CDMA – Multicarrier CDMA option – Forward link – Reverse link. Reference Books:

1. Samuel C Yang, “CDMA RF System Engineering”, - Artech House Mobile Communication Library , 1998.

2. John B.. Groe and Lawrence E. Larson, “ CDMA Mobile Radio Design”, Artech house 2000.

3. Kamil SH.Zingangirav, “Theory of Code Division Multiple Access Communication”, IEEE press – Wiley Interscience, 2004.




ECE 10 203 Advanced Optical Communication Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: This course is aimed to provide the students the various optical networking schemes and their

important issues. Module 1 (14 hours) Components Introduction to optical components – optical amplifiers –types – issues in optical amplifiers – photonic switching – cross connect – wavelength conversion – multiplexer – demultiplexer – filters – tunable filters – introduction to OICs and its applications. First Generation Optical Networks SONET/SDH- multiplexing, elements of a SONET/SDH infrastructure- SONET/SDH physical layer. Computer interconnects-ESCON, Fiber channel, HIPPI. Metropolitan area networks – FDDI, ATM. Layered architecture – SONET/SDH layers – Second generation optical network layers. Module 2 (13 hours) WDM Technology Introduction – WDM optical networking evolution – enabling technologies for WDM optical networks – WDM optical network architecture – DWDM – issues in WRN. Module 3 (13 hours) OTDM Technology Important issues of OTDM – optical solitons – applications of solitons. Optical pulse compression – fiber grating compressor – soliton effect compressor. Module 4 (13 hours) FTH and PON Technology Proposed architecture and issues of Fiber to the home (FTH) – Passive optical networks (PON) – Near space communication – Open air optical communication – Inter satellite link hops (ISL). Introduction to all optical networks (AON). Military, civil, consumer and industrial applications.

Reference Books :

1. Rajiv Ramaswami and Kumar N. Sivarajan, “ Optical networks – A Practical Perspective”, A Harcourt Publishers International Company, 2000.

2. R.G. Junsperger, “ Integrated Optics – Theory and Technology, Springer Series in Optical Sciences”, 3rd Edition 1991.

3. Gerg Keiser, “Optical Fiber Communications”, McGraw Hill International Edition, 1991. 4. John Gowar, “Optical Communications Systems”, 2nd Edition PHI of India, 1995. 5. John M. Senior , “Optical Fiber Communications Principles and Practice”,. PHI, 1992. 6. G.P. Agarwal, “Non-Linear Optics”, Academic Press. 7. StamatiosV.Kartalopoulos,”Understanding SONET/SDH and ATM Communication Network for

Next Millennium”, PHI , 2000. 8. C.SivaRam Murthy and Mohan Gurusamy, “ WDM Optical Networks: Concepts, Design and

Algorithms” PHI , India, 2002.




ECE 10 204(A): Multirate Signal Processing Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective:

The course focuses on multirate signal processing which is the basic to modern signal processing. Topics include multirate signal processing material such as decimation, interpolation, filter banks, polyphase filtering, advanced filtering structures and nonuniform sampling and the cosine modulated filter banks. Module 1: (14 hours) Fundamentals of Multirate Theory The sampling theorem: sampling at subnyquist rate - Basic Formulations and schemes. Basic Multirate operations: Decimation and Interpolation - Digital Filter Banks- DFT Filter Bank- Identities- Polyphase representation Maximally decimated filter banks: Polyphase representation - Errors in the QMF bank- Perfect reconstruction (PR) QMF Bank - Design of an alias free QMF Bank Module 2: (12hours) M-channel perfect reconstruction filter banks Uniform band and non uniform filter bank - tree structured filter bank- Errors created by filter bank system- Polyphase representation- perfect reconstruction systems Module 3: (14 Hours) Perfect reconstruction (PR) filter banks Paraunitary PR Filter Banks- Filter Bank Properties induced by paraunitarity- Two channel FIR paraunitary QMF Bank- Linear phase PR Filter banks- Necessary conditions for Linear phase property- Quantization Effects: -Types of quantization effects in filter banks. -coefficient sensitivity effects, dynamic range and scaling. Module 4: (13Hours) Cosine Modulated filter banks Cosine Modulated pseudo QMF Bank- Alas cancellation- phase - Phase distortion- Closed form expression- Polyphase structure- PR Systems References:

1. P.P. Vaidyanathan. Multirate systems and filter banks, Prentice Hall. PTR. 1993. 2. N.J. Fliege. Multirate digital signal processing, John Wiley 1994. 3. Sanjit K. Mitra, Digital Signal Processing: A computer based approach, McGraw Hill.

1998. 4. R.E. Crochiere. L. R., Multirate Digital Signal Processing, Prentice Hall. Inc.1983. 5. J.G. Proakis. D.G. Manolakis, Digital Signal Processing: Principles. Algorithms and

Applications, 3rd Edn. Prentice Hall India, 1999.




ECE10 204(B) Smart Antennas Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: This course is aimed to introduce the students with the concepts of smart antenna technology , the modeling and estimation. At the end of the course student will be able to have a good knowledge about all the modern smart wireless systems. Module 1 (13 hours) Spatial processing for wireless systems. Adaptive antennas. Beam forming networks. Module 2 (13 hours) Digital radio receiver techniques and software radios.cognitive radios Coherent and non-coherent CDMA spatial processors. Dynamic re-sectoring. Range and capacity extension – multi-cell systems. Module 3 (14 hours) Spatio–temporal channel models. Environment and signal parameters. Geometrically based single bounce elliptical model.

Optimal spatial filtering – adaptive algorithms for CDMA. Multitarget decision – directed algorithm. Module 4 (13 hours) DOA estimation – conventional and subspace methods. ML estimation techniques. Estimation of the number of sources using eigen decomposition. Direction finding and true ranging PL systems. Elliptic and hyperbolic PL systems. TDOA estimation techniques. References:

1. T.S.Rappaport & J.C.Liberti, Smart Antennas for Wireless Communication,

Prentice Hall (PTR) , 1999.

2. R.Janaswamy, Radio Wave Propagation and Smart Antennas for

Wireless Communication, Kluwer, 2001.

3. M.J. Bronzel, Smart Antennas, John Wiley, 2004.




ECE 10 204(C): Transform Theory Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: To impart a thorough knowledge in Discrete Fourier Transform and

the Karhunen-Loeve transform Module I (12 hours) Review of Linear Algebra : Vector Spaces and Bases, Linear Transformations, Matrices, and Change of Basis, Diagonalization of Linear Transformations and Matrices, Inner Products, Orthonormal Bases, and Unitary Matrices, Spectral Theorem for Matrices. Module II (14 hours) The Discrete Fourier Transform: Basic Properties of the Discrete Fourier Transform, Translation-Invariant Linear Transformations, Circulant Matrices, Convolution Operator, Fourier Multiplier Operator. Module III (15 hours)

The Discrete Time Fourier Transform : l2( ), Hilbert Spaces, Complete Orthonormal Sets in Hilbert Spaces, L2([-π,π]) and Fourier Series, The Fourier Transform and Convolution on l2( ). The Fourier Transform: L2( ) and Approximate Identities. The Fourier Transform on

Module IV (12 hours) The Karhunen-Loeve transform: Whitening of a Random Process. Optimal Transform. Dimensionality Reduction. Independent Component Analysis. Reference 1. Michael W. Frazier, An Introduction to Wavelets Through Linear Algebra, Springer. 2. Aapo Hyvärinen, Juha Karhunen, and Erkki Oja, Independent component analysis, John Wiley Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced right at the beginning of the semester by the teacher. End semester Examination: 100 marks Question pattern Answer any 5 questions by choosing at least one question from each module. Module I Question 1: 20 marks Question 2: 20 marks Module II Question 3: 20 marks Question 4: 20 marks Module III Question 5: 20 marks Question 6: 20 marks Module IV Question 7: 20 marks

Question 8: 20 marks

ECE10 204(D) Communication Switching & Multiplexing Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: To impart an in-depth knowledge about various switching and multiplexing schemes used in telecommunication networks Module 1 (13 hours) Switching: Performance and architectural issues: Packet switches- Circuit switches. Time and Space division switching - Point to point circuit switching - multistage switching network - Paull’s matix for representing connections - Strict sense non-blocking Clos network.Generalized circuit switching- Cross Point Complexity (CPC)- Fast packet switching- Self routing Banyan networks-Combinatorial limitations of Banyan networks. Module 2 (13 hours) Types of blocking for a packet switch- Output conflicts- HOL blocking.Traffic analysis: Traffic measurements, arrival distributions, Poisson process, holding/service time distributions, loss systems, lost calls cleared – Erlang-B formula, lost calls returning and lost calls held models, lost calls cleared and held models with finite sources, delay systems, Little’s theorem, Erlang-C formula , M/G/1 model. Blocking probability: Analysis of single stage and multistage networks –Blocking for Unique path routing- Alternate path routing- The Lee approximation – The Jacobaeus method. Module 3 (14 hours) Multiplexing: Network performance and source characterization; Stream sessions in packet networks - deterministic analysis, stochastic analysis, circuit multiplexed networks; Elastic transfers in packet networks- adaptive bandwidth sharing. Module 4 (13 hours) Statistical multiplexing: blocking analysis in circuit multiplexed networks, with single rate or multirate traffic- Models for performance analysis of integrated packet networks; deterministic models, worst case analysis; stochastic models, large deviations analysis. The effective Bandwidth approach for Admission control - Models for traffic flow in packet networks, long range dependence and self similar processes. References: 1.A. Kumar, D. Manjunath, J. Kuri, Communication Networking: An Analytical Approach,

MorganKaufman Publishers, 2004.

2.Hui, J.Y., Switching and Traffic Theory for Integrated Broadband Networks, Kluwer,

1990.




ECE 205(A) Personal Wireless Networks And Mobile Computing Teaching scheme: Credits: 4

3hours lecture & 1 hour tutorial per week Objective:

To introduce the various aspects of Bluetooth, WLAN, Infrared technologies and Home RF. The goal of IEEE and Bluetooth SIG is to find standards (802.15) Wireless PAN, which shall have interoperability between a broad range of consumer devices and allow global use of Personal Area Networks. the fundamentals of wireless networking and mobile computing. Keeping in view the three relevant technologies are studied.

Module 1 (15 hours)

Over view of all technologies, IEEE 802.15 WPAN,Home RF, Blue tooth, interface between blue tooth and WLAN, standards, major telecommunications standards organizations, the radio frequency spectrum, interoperability issues. Infrared Standards-Differences between the OSI communications model and the IEEE 802 of a radio system, infrared WLAN Bluetooth Technology- Bluetooth protocol architecture, Link management, Logical Link control, Blue tooth profiles and Blue tooth security Module 2 (13 hours) Wireless LANS: infrastructure Vs Ad hoc Networks, IEEE 802.11: Architecture. MAC layer- Synchronization, power management, roaming-IEEE 802.11b, 802.11a, new developments.. Mobile IP Overview, network elements, packet delivery agent discovery, registration - Tunneling and encapsuplation optimization, IPv6, IP micro mobility support, DHCP and mobile IP, mobile transport layer - Traditional TCP and implications on mobility, indirect and snooping TCP - TCP over 2.5G/3G networks- Performance enhancing process. Module 3 (13 hours) Mobile Computing Challenges of mobile computing -File systems and WWW architectures for mobile computing - WAP-Architecture, protocols wireless applications, environment WML, push architecture, push/pull services, WAP 1.72 stacks, I-mode, WAP 2.0 - J2ME- BREW. Module 4 (12 hours) Wireless Security Public key infrastructure and certification authorities- wireless public key infrastructure- Characteristics of SIM - Security protocols- Authentication. References:

1. Mobile Communication, John Schiller, Addison Wesley-2003. 2. Principles of Wireless Networks - A Unified Approach ,K.Pahlvanand P.Krishnamurthy”,

Pearson Education , 2004. 3. Wireless Network Evolution: 2G to 3G",V.K.Garg - Prentice Hall , 2002 .. 4. "Mobile IP Design-Principles and practice",C.E.Perkins - Addison Wesley ,1998. 5. "Wireless Personal Communication Systems", DJ.Goodman-Addisson Wesley, 1997. 6. Kaven pahlavan and others, “Principles of Wireless networks”, Pearson ed. 2002. 7. Nathan J Muller, “Blue tooth Demystified” TMH, Third reprint 2007. 8. William Stallings, “Wireless communications and Networks”, 2nd ed. PHI 2007. 9. John R Barry, “Wireless infrared communications” ISBN 0792394763 10. Asoke Talukder, Yavagal, “Mobile Computing”, TataMcGraw Hill, 2005

Dee M Bakker and others, “Blue tooth end to end” ISBN 978-0-7645-4887-1




ECE10 205(B) Detection and Estimation Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: Objective: To introduce Detection theory and impart knowledge in both single observation and multiple observations.To introduce the need of Estimation theory and different methods for estimation.To understand the different properties of estimators To introduce state estimation Module 1 (13hours) Binary hypothesis testing; Bayes, minimax and Neyman-Pearson tests. Composite hypothesis testing. Signal detection in discrete time: Models and detector structures. Coherent detection in

independent noise. Detection in Gaussian noise. Detection of signals with random parameters. Detection of stochastic signals. Performance evaluation of signal detection procedures. Module 2 (14 hours) Bayesian parameter estimation; MMSE, MMAE and MAP estimates. Nonrandom parameter estimation. Exponential families. Completeness theorem. ML estimation. Information inequality. Asymptotic properties of MLEs. Module 3 (13 hours) Discrete time Kalman- Bucy filter. Linear estimation. Orthogonality principle. Wiener- Kolmogorov filtering – causal and noncausal filters. Module 4 (13 hours) Signal detection in continous time:Detection of deterministic signals in Gaussian noise. Coherent detection in white Gaussian noise. Referencse:

1. H.V.Poor, An Introduction to Signal Detection and Estimation (2/e) Springer, 1994. 2. H.L.Vantrees, Detection, Estimation and Modulation theory, Part I, Wiley. 3. M.D.Srinath & P.K.Rajasekaran, Statistical Signal Processing with Applications, Wiley. 4. J.C.Hancock & P.A. Wintz, Signal Detection Theory, Mc-Graw Hill.





ECE 10 205(C) Designing with ASICs

Teaching scheme Credits: 4 3 hours lecture & 1 hour tutorial per week Objectives: After the completion of this course the student should be able to identify different types of ASICs, architecture of advanced FPGAs, the need for programmable SOCs, testing methods of SOCs and to get familiarized with High performance algorithms for ASICs and SOCs. Module I: (13 hours) Types of ASICs. ASIC design flow. Programmable ASICs. Antifuse, SRAM, EPROM, EEPROM based ASICs. Programmable ASIC logic cells and I/O cells. Programmable interconnects. Module II: (13 hours) An overview of advanced FPGAs and programmable SOCs : Architecture and configuration of Spartan and Virtex FPGAs . Apex and Cyclone FPGAs. Virtex PRO kits and Nios kits. OMAP. ASIC physical design issues. system partitioning, interconnect delay models and measurement of delay. ASIC floor planning, placement and routing. Module III: (13 hours) Design issues in SOC. Design methodologies. Processes and flows. Embedded software development for SOC. Techniques for SOC testing. Configurable SOC. Hardware/software codesign. Module IV: (14 hours) High performance algorithms for ASICs/ SOCs. SOC case studies- DAA and computation of FFT and DCT. High performance filters using delta-sigma modulators. Case Studies: Digital camera, Bluetooth radio/modem, SDRAM and USB controllers. References: 1. . M.J.S. Smith : Application Specific Integrated Circuits,,Pearson,2003. 2. H.Gerez, Algorithms for VLSI Design Automation, John Wiley, 1999. 3. K.K.Parhi, VLSI Digital Signal Processing Systems, John-Wiley, 1999.

Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced right at the beginning of the semester by the teacher. End semester Examination: 100 marks Question pattern Answer any 5 questions by choosing at least one question from each module. Module I Question 1: 20 marks Question 2: 20 marks Module II Question 3: 20 marks Question 4: 20 marks Module III Question 5: 20 marks Question 6: 20 marks Module IV Question 7: 20 marks Question 8: 20 marks ECE 10 205(D) RF Design of Communication Systems Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: The objective of the paper is to facilitate the student with the understanding of RF design of various components for the use in communication devices and to impart the modeling of RF system design in the field of communication system Module 1 (13 hours) RF Filter design-Basic resonator and filter configurations-special filter realization-filter implementation-coupled filter Module 2 (13 hours) Active RF Components-RF diodes-bipolar junction transistor –RF field effect transistor-high electron mobility transistors-diode models-transistor models-measurement of active devices-scattering parameter device characterization Module 3 (13 hours) Matching and biasing networks

Impedance matching using discrete components-micro strip line matching networks-amplifier classes of operation and biasing networks Module 4 (14 hours) RF Transistor amplifier design Characteristics of amplifier-amplifier power relations-stability consideration-constant gain-broadband, high power, and multistage amplifiers, Oscillators and mixers: Basic oscillator model-high frequency oscillator configuration-basic characteristics of mixer. Reference Books: 1. Reinhold Ludwig, “RF circuit design, theory and applications” Pavel Bretchko, “Pearson Asia Education”, edition 2001 2. D.Pozar, “Microwave Engineering”, John Wiley & Sons, New York, 1998 3. I.J.Bhal & P.Bhartia, Microwave Solid state Circuit Design, Wiley, 2003. 4. George.D.Vandelin, Anthony M.Pavis and Ulrich L.Rohde, “Microwave circuits design using linear and non linear techniques”, John Wiley and sons 1990. 5. Samuel T.Liao, “Microwave Circuits and analysis and amplifier design”, PHI, 1987. Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced right at the beginning of the semester by the teacher. End semester Examination: 100 marks Question pattern Answer any 5 questions by choosing at least one question from each module. Module I Question 1: 20 marks Question 2: 20 marks Module II Question 3: 20 marks Question 4: 20 marks Module III Question 5: 20 marks Question 6: 20 marks Module IV Question 7: 20 marks Question 8: 20 marks

ECE 10 206(P): Communication Design & Simulation Lab Hours per week: 2 hours practical Credits: 2 Objectives: Upon completion, the students will

Be able to design enlisted experiments and implement using hardware Acquire sufficient expertise in simulating these systems using MATLAB Be able to design and implement self standing systems of their choice with sufficient

complexity. Tools : Numerical Computing Environments – GNU Octave or MATLAB or any other equivalent tool Expts.: 1. Implementation of digital modulation schemes – BASK, BFSK, BPSK. Plot BER vs Eb / N0. in AWGN channels. 2. Performance comparison of QPSK, DPSK, MSK & GMSK. 3. Communication over fading channels – Rayleigh fading & Rician fading channels. 4. Comparison of diversity combining techniques – SC, EGC & MRC. 5. Simulation of CDMA systems. 6. Implementation of Matched filter, Correlation receiver & Equalizer. 7. Gram Schmidt Orthogonalization of waveforms. 8. Carrier recovery and bit synchronization. 9. Implementation of multicarrier communication. 10. Plotting Eye pattern. 11. Constellation diagram of various digital modulation schemes. Mini Project (Compulsory) Student has to do a mini project on a topic approved by a 3 member committee and submit two copies of project report and an assessment will be conducted by the committee. Internal continuous assessment: 100 marks Internal continuous assessment will be as follows. Continuous Evaluation (Assessment of individual Experiments): 30 Mini Project (Demonstration, Report & Viva): 30 End Semester Exam (Practical Test & Viva): 40

ECE10 207(P): SEMINAR Hours per week: 2 hours practical Credits: 2 Objective:

To assess the debating capability of the student to present a technical topic.Also to impart training to a student to face audience and present his/her ideas and thus creating self esteem and courage that are essential for an engineer.

Individual students are required to choose a topic of their interest preferably from outside the M.Tech syllabus and give a seminar on that topic about 45 minutes. A committee consisting of at least three faculty members shall assess the presentation of the seminar and award marks to the students based on merits of topic of repesentation. Each student shall submit two copies of a write up of the seminar topic. One copy shall be returned to the student after duly certifying it by the chairman of the assessing committee and the other will be kept in the departmental library. Internal continuous assessment marks are awarded based on the relevance of the topic, presentation skill, quality of the report and participation. Internal Continuous Assessment (Maximum Marks-100) Presentation +Discussion : 60 Relevance + Literature : 10 Report : 20 Participation : 10 Total marks : 100

SEMESTER III The student has to credit 2 theory subjects from the two groups of electives listed. The student has to undergo an industrial training of duration one month during the semester break after the semester II and complete that within 15 calendar days from the start of semester III.

ECE10 301(A) Signal Compression Teaching scheme: Credits: 4

3 hours lecture & 1 hour tutorial per week Objective: To familiarise with different data compression techniques and standards Module 1 (13 hours)

Brief history of data compression applications,Overview of information theory, redundancy. Overview of Human audio,Visual systems,Taxonomy of compression techniques .Overview of source coding,,source models,scalar quantisation theory,rate distribution theory,vector quantisation,structure quanitizers.Evaluation techniques-error analysis and methodologies Module 2 (14 hours) Compact techniques-Huffmann coding-arithmatic coding-Shannon-Fano coding and dictionary techniques-LZW family algorithms.Entropy measures of performance-Quality measures. Audio compression techniques-frequency domain and filtering-basic sub band coding-application to speech coding-G.722-application to audio coding-MPEG audio, progressive encoding for audio—silence compression,speech compression techniques-Vocoders Predictive techniques-PCM,DPCM,DM. Module 3 (13 hours) Contour based compressionadtrees,EPIC,SPIHT,Transformcoding,JPEG,JPEG-2000,JBIG Video signal representation, Video compression techniques-MPEG, Motion estimation techniques- Module 4 (13 hours) H.261.Overview of Wavelet based compression and DVI technology,Motion video compression,PLV performance,DVI real time compression References: 1. Mark Nelson,Dta compression book,BPB Publishers,New Delhi,1998 2. Sayood Khaleed,Introduction to data compression,Morgan Kauffman,London,1995 3. Watkinson,J.Compression in video and audio,Focal press,London.1995 4. Jan Vozer,Video compression for multimedia,AP profes,NewYork,1995





Question 6: 20 marks Module IV Question 7: 20 marks Question 8: 20 marks

ECE10 301(B) Advanced Techniques for Wireless Reception Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: To impart the knowledge about wireless reception techniques and signal processing techniques. Students will be introduced to the reception techniques used in the new generation wireless systems. Module 1 (13 hours) Wireless signaling environment. Basic signal processing for wireless reception. Linear receivers for synchronous CDMA. Blind and group-blind multiuser detection methods. Performance issues. Module 2 (13 hours) Robust multiuser detection for non Gaussian channels; asymptotic performance , implementation aspects. Adaptive array processing in TDMA systems. Optimum space-time multiuser detection. Module 3 (14 hours)

Turbo multiuser detection for synchronous and turbo coded CDMA. Narrowband interface suppression. Linear and nonlinear predictive techniques. Code- aided techniques. Performance comparison. Module 4 (13 hours) Signal Processing for wireless reception: Bayesian and sequential Montecarlo signal processing. Blind adaptive equalization of MIMO channels .Signal processing for fading channels. Coherent detection based on the EM algorithm. Decision-feedback differential detection. Signal processing for coded OFDM systems. Referencs:

1. X.Wang & H.V.Poor, Wireless Communication Systems, Pearson, 2004. 2. R.Janaswamy, Radio Wave Propagation and Smart Antennas for

Wireless Communication, Kluwer, 2001.

3. Mohamed Ibnkahla, Signal Processing for Mobile Communications, CRC Press, 2005. 4. A.V.H. Sheikh, Wireless Communications Theory & Techniques, Kluwer Academic

Publications, 2004.

5. A.Paulraj etal, Introduction to Space-time Wireless Communications, Cambridge

University Press, 2003.



Question pattern Answer any 5 questions by choosing at least one question from each module. Module I Question 1: 20 marks Question 2: 20 marks Module II Question 3: 20 marks Question 4: 20 marks

Module III Question 5: 20 marks Question 6: 20 marks Module IV Question 7: 20 marks Question 8: 20 marks

ECE10 301(C) Secure Communication Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective:

To introduce the basic concept encryption techniques,To familiarise with the concept of private key and public key cryptosystems, To introduce the concept of Elliptic curves

Module 1 (13 hours) Rings and fields - Homomorphism- Euclidean domains - Principal Ideal Domains - Unique Factorization Domains -- Field extensions- Splitting fields - Divisibility- Euler theorem - Chinese Remainder Theorem -Primality Module 2 (13 hours) Basic encryption techniques - Concept of cryptanalysis - Shannon's theory - Perfect secrecy - Block ciphers -Cryptographic algorithms - Features of DES - Stream ciphers - Pseudo random sequence generators – linear complexity - Non-linear combination of LFSRs - Boolean functions Module 3 (14 hours) Private key and Public key cryptosystems - One way functions - Discrete log problem – Factorization problem - RSA encryption - Diffie Hellmann key exchange - Message authentication and hash functions -Digital signatures - Secret sharing - features of visual cryptography - other applications of cryptography - Module 4 (13 hours) Elliptic curves - Basic theory - Weirstrass equation - Group law - Point at Infinity -Elliptic curves over finite fields - Discrete logarithm problem on EC - Elliptic curve cryptography - Diffie Hellmann key exchange over EC - Elgamal encryption over EC – ECDSA References:

1. 1.Douglas A. Stinson, “Cryptography, Theory and Practice”, 2nd edition, Chapman & Hall, CRC Press Company, Washington

2. 2.William Stallings, “ Cryptography and Network Security”, 3rd edition, Pearson Education

3. 1.Lawrence C. Washington, “ Elliptic Curves”, Chapman & Hall, CRC Press

Company, Washington.

4. 2.David S. Dummit, Richard M. Foote, “ Abstract Algebra”, John Wiley & Sons

5. 3.Evangelos Kranakis, “ Primality and Cryptography”, John Wiley & Sons

6. 4.Rainer A. Ruppel, “ Analysis and Design of Stream Ciphers”, Springer Verlag




ECE 10 301(D) Adaptive Signal Processing Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week

Objective: This course is intended to impart to the students the principles of Adaptive signal processing, different algorithms used for design of Adaptive Filters, Performance evaluation of systems Modelling systems like multipath communication channel and Synthesis of filters. Module I (14 Hours): Adaptive systems ‐ definitions and characteristics ‐ applications ‐ propertiesexamples ‐ adaptive linear combiner‐input signal and weight vectors ‐ performance function‐gradient and minimum mean square error ‐ introduction to filteringsmoothing and prediction ‐ linear optimum filtering‐orthogonality ‐ Wiener ‐ Hopf equation‐performance surface Module II (13 Hours): Searching performance surface‐stability and rate of convergence ‐ learning curvegradient search ‐ Newton’s method ‐ method of steepest descent ‐ comparison ‐ gradient estimation ‐ performance penalty ‐ variance ‐ excess MSE and time constants ‐ maladjustments Module III (13 Hours): LMS algorithm convergence of weight vector‐LMS/Newton algorithm ‐ properties ‐ sequential regression algorithm ‐ adaptive recursive filters ‐ random‐search algorithms ‐ lattice structure ‐ adaptive filters with orthogonal signals Module IV (13 Hours): Applications‐adaptive modelling and system identification‐adaptive modelling for multipath communication channel, geophysical exploration, FIR digital filter synthesis, inverse adaptive modelling, equalization, and deconvolution‐adaptive equalization of telephone channels‐adapting poles and zeros for IIR digital filter synthesis References: 1. Bernard Widrow and Samuel D. Stearns, Adaptive Signal Processing, Pearson Education, 2005. 2. Simon Haykin, Adaptive Filter Theory, Pearson Education. 3. John R. Treichler, C. Richard Johnson, Michael G. Larimore, Theory and Design of Adaptive Filters, Prentice‐Hall of India, 2002 4. S. Thomas Alexander, Adaptive Signal Processing ‐ Theory and Application, Springer‐Verlag. 5. D. G. Manolokis, V. K. Ingle and S. M. Kogar, Statistical and Adaptive Signal Processing, Mc Graw Hill International Edition, 2000. Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced right at the beginning of the semester by the teacher. End semester Examination: 100 marks Question pattern Answer any 5 questions by choosing at least one question from each module. Module I Question 1: 20 marks

Question 2: 20 marks Module II Question 3: 20 marks Question 4: 20 marks Module III Question 5: 20 marks Question 6: 20 marks Module IV Question 7: 20 marks Question 8: 20 marks

ECE10 302(A) Markov Modeling And Queueing Theory

Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: This course is a thorough treatment of Markov chains and Markov models of systems. It also deals with the essential queuing theory and application of Markov models in the analysis of queuing networks.. Module I (14 Hours) Stochastic Processes: Renewal Processes - Reward and Cost Models, Poisson Process; Point Processes; Regenerative Processes; Renewal Theorems. Module II (13 Hours) Markov Models: Discrete Time Markov Chain - Transition Probabilities, Communication Classes, Irreducible Chains; Continuous Time Markov Chain -Pure-Jump Continuous-Time Chains, Regular Chains, Birth and Death Process, Semi-Markov Processes. Module III (13 Hours) Single Class & Multi-class Queuing Networks: Simple Markovian queues; M/G/1 queue; G/G/1 queue; Open queuing networks; Closed queuing networks; Mean value analysis; Multi-class traffic model; Service time distributions; BCMP networks; Priority systems. Module IV (13 Hours) Time Delays and Blocking in Queuing Networks: Time delays in single server queue; Time delays in networks of queues; Types of Blocking; Two finite queues in a closed network; Aggregating Markovian states. References: 1. Ronald W. Wolff, Stochastic Modeling and The Theory of Queues, Prentice‐Hall International. 2.Peter G. Harrison and Naresh M. Patel, Performance Modeling of Communication Networks and Computer Architectures, Addison‐Wesley. 3.Gary N. Higginbottom, Performance Evaluation of Communication Networks, Artech House. 4.Anurag Kumar, D. Manjunath, and Joy Kuri, Communication Networking: An Analytical Approach, Morgan Kaufman Publ.

5. D. Bertsekas and R. Gallager, Data Networks, Prentice Hall of India. 6. Ross, K.W., Multiservice Loss Models for Broadband Telecommunication Networks, SpringerVerlag. 6. Walrand, J., An Introduction to Queueing Networks, Prentice Hall. Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced right at the beginning of the semester by the teacher. End semester Examination: 100 marks Question pattern Answer any 5 questions by choosing at least one question from each module. Module I Question 1: 20 marks Question 2: 20 marks Module II Question 3: 20 marks Question 4: 20 marks Module III Question 5: 20 marks Question 6: 20 marks Module IV Question 7: 20 marks Question 8: 20 marks ECE10 302(B) Space Time Coding & MIMO Systems Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: To impart an in-depth knowledge about MIMO systems and the various space time coding techniques used in telecommunication networks Module 1 (13 hours)

Information theoretic aspects of MIMO Review of SISO communication - MIMO channel models - Classical i.i.d. and extended channels -Frequency selective and correlated channel models - Capacity of MIMO channels - Ergodic and Outage Capacity - Capacity bounds - Influence of channel properties on capacity.

Module 2 (14 hours)

MIMO Diversity and Spatial Multiplexing Space Time Diversity Aspects - Sources and types of diversity - analysis under Rayleigh fading – Diversity and Channel knowledge - MIMO Spatial multiplexing - Space Time receivers - ML - MMSE - ZF – Sphere decoding - BLAST receivers - DMG tradeoff in MIMO systems.

Module 3 (13 hours)

Space Time Block Codes Alamouti's code for two transmit antennas - Comparison with dual-branch receive

diversity STBC based on real/complex orthogonal designs - Code Design Criteria for quasi-static Channels (Rank, Determinant and Euclidean Distance) - Orthogonal Designs - Generalized Orthogonal Designs - Quasi-Orthogonal Designs - Performance Analysis. Representation of STTC- shift register, generator matrix, state-transition diagram, trellis

Module 4 (13 hours)

Space Time Trellis Codes Diagram - Code construction. Delay diversity as a special case of STTC- Performance Analysis. References: 1.A. Paulraj, R. Nabar and D. Gore , “Introduction to Space Time Wireless

Communications”, Cambridge University press.

2.B.Vucetic and J. Yuan, Space-Time Coding, John Wiley, 2003.

3.E.G. Larsson and P. Stoica, “Space-Time Block Coding for Wireless Communications”,

Cambridge University press.

4 .H. Jafarkhani, “Space-Time Coding: Theory and Practice”, Cambridge University

press

5.D. Tse and P. Viswanath, “Fundamentals of Wireless Communication”, Cambridge

University press.

Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced right at the beginning of the semester by the teacher. End semester Examination: 100 marks Question pattern Answer any 5 questions by choosing at least one question from each module. Module I

Question 1: 20 marks Question 2: 20 marks Module II Question 3: 20 marks Question 4: 20 marks Module III Question 5: 20 marks Question 6: 20 marks Module IV Question 7: 20 marks Question 8: 20 marks

ECE 10 302(C) Spectrum Analysis Techniques Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective:

To introduce Power spectral density,To impart knowledge in different methods of PSD estimation both in Nonparametric & parametric methods,To introduce the filter bank methods

Module I: (10 hours) Power Spectral Density: Energy spectral density of deterministic signals, Power spectral density of random signals, Properties of PSD Module II: (13 hours) PSD Estimation - Non-parametric methods: Estimation of PSD from finite data, Nonparametric methods : Periodogram properties, bias and variance analysis, Blackman-Tuckey method, Window design considerations, time- bandwidth product and resolution – variance trade-offs in window design, Refined periodogram methods : Bartlet method, Welch method. Module III: (17hours) PSD Estimation - Parametric methods: Parametric method for rational spectra:- Covariance structure of ARMA process, AR signals, Yule-Walker method, Least square method, Levinson-Durbin Algorithm, MA signals, Modified Yule-Walker method, Twostage least square method, Burg method for AR parameter estimation. Parametric method for line spectra: Models of sinusoidal signals in noise, Non-linear least squares method, Higher order Yule-Walker method, MUSIC and Pisayenko methods, Minnorm method, ESPIRIT method . Module IV: (12 hours) Filterbank methods: Filterbank interpertation of periodogram, Slepia base-band filters, refined filterbank method for higher resolution spectral analysis, Capon method, introduction to higher order spectra. References: 1. Introduction to Spectral Analysis, Stoica , R.L. Moses, Prentice Hall 2. Modern Spectral Estimation Theory & Applications, Kay SM, Prentice Hall




ECE10 302(D) New Generation Networks Teaching scheme: Credits: 4 3 hours lecture & 1 hour tutorial per week Objective: The objective of this course is to provide exposure to the new technologies and services that telecommunication operators have as they create new 3G networks and beyond where multimedia coverage is based on packet switched rather than circuit switched Telephony. Module 1 (14 hours) Introduction to new generation networks. Communicating in the new Era, New Era of Networking, Technologies influencing change, IP Everywhere, Optical fiber anywhere, wireless access, building blocks for NGN, IP Networks, VOIP, Multi service Flexible Networks architecture. VPNs, Optical Networks, Wire line & Wireless Networks, NGN Services, Network Infrastructure convergence, services convergence, from technology push to service pull. Module 2 (13 hours) IP Networks IP past, present and future, IP influence and confluence, IP version 4, I. P. Version 6, IP Network convergence, LAN Technologies, IP Routing, LAN Switching, WAN’s, WAN Technologies and Topologies. Wireless IP LANS, Mobility Networks, Global IP Networks, Global capacity,

Globally Resilient IP, Internet – A Network of Networks. Beyond IP, Technology Brief – IP Networks, Business Drivers, Success factors, Applications and Service Value. Module 3 (13 hours) Muti service Networks Origin of multi service ATM, Next Generation Multi service Networks, Next Generation Multi service ATM switching, Multi protocol Label switching, Networks, Frame Based MPLS, Cell based MPLS, MPLS services and their benefits, multi service provisioning platforms (MSPP) & Multi service switching platform (MSSP) Module 4 (13 hours) NGN Applications Internet connectivity, e-commerce, call center, third party application service provision, UMTS, WAP, WiMAX, integrated billing, security and directory enable networks. ReferenceS: 1. Next Generation Networks Services, Technologies and Strategies, Neill Wilkinson, Wiley. 2. Next Generation Network Services, Robet Wood, Pearson 3. Next Generation Telecommunications Network, Parliament office of Science and Technology (Postnote). Dec 2007, No. 296 Ref. www.parliament.uk 4. Mobile Next Generation Networks Huber, JF IEEE Multimedia Vol. 11, Issue I Jan- March 2004. 5. Next Generation Network (NGN) Service, J.C. Crimi, A Telecoolia Technologies white paper refer www.telecodia.com Internal continuous assessment: 100 marks Internal continuous assessment is in the form of periodical tests, assignments, seminars or a combination of all whichever suits best. There will be minimum of two tests per subject. The assessment details are to be announced right at the beginning of the semester by the teacher. End semester Examination: 100 marks Question pattern Answer any 5 questions by choosing at least one question from each module. Module I Question 1: 20 marks Question 2: 20 marks Module II Question 3: 20 marks Question 4: 20 marks Module III Question 5: 20 marks Question 6: 20 marks Module IV Question 7: 20 marks Question 8: 20 marks ECE 10 303(P): INDUSTRIAL TRAINING

Teaching scheme: 1 hour per week Credits: 1 The students have to undergo an industrial training of minimum two weeks in an industry during the semester break after second semester and complete within 15 calendar days from the start of third semester. The students have to submit a report of the training undergone and present the contents of the report before the evaluation committee constituted by the department. An internal evaluation will be conducted for examining the quality and authenticity of contents of the report and award the marks at the end of the semester. Internal continuous assessment: Marks 50 ECE 10 304(P): MASTERS RESEARCH PROJECT (PHASE – I) Teaching scheme: 22 hours per week Credits: 6 Objective: To improve the professional competency and research aptitude by touching the areas which otherwise not covered by theory or laboratory classes. The project work aims to develop the work practice in students to apply theoretical and practical tools/techniques to solve real life problems related to industry and current research. The project work can be a design project / experimental project and or computer simulation project on communication engineering or any of the topics related with communication engineering stream. The project work is allotted individually on different topics. The students shall be encouraged to do their project work in the parent institute itself. If found essential, they may be permitted to continue their project outside the parent institute subject to the conditions in clause 10 of M.Tech regulations. Department will constitute an Evaluation Committee to review the project work. The Evaluation committee consists of at least three faculty members of which internal guide and another expert in the specified area of the project shall be two essential members. The student is required to undertake the masters research project phase-I during the third semester and the same is continued in the 4th semester.(Phase-II). Phase-I consists of preliminary thesis work, two reviews of the work and the submission of preliminary report. First review would highlight the topic, objectives, methodology and expected results. Second review evaluates the progress of the work, preliminary report and scope of the work which is to be completed in the 4th semester. Internal Continuous assessment: First Review: Guide 50 marks Evaluation Committee 50 marks Second review: Guide 100 marks Evaluation Committee 100 marks Total 300 marks

SEMESTER IV ECE10 401(P): MASTERS RESEARCH PROJECT (PHASE - 2) Teaching scheme: 30 hours per week Credits: 12 Objectives: To improve the professional competency and research aptitude by touching the areas which otherwise not covered by theory or laboratory classes. The project work aims to develop the work practice in students to apply theoretical and practical tools/techniques to solve real life problems related to industry and current research. Masters Research project phase-II is a continuation of project phase-I started in the third semester. Before the end of the fourth semester, there will be two reviews, one at middle of the fourth semester and other towards the end. In the first review, progress of the project work done is to be assessed. In the second review, the complete assessment (quality, quantum and authenticity) of the Thesis is to be evaluated. Both the reviews should be conducted by guide and Evaluation committee. This would be a pre qualifying exercise for the students for getting approval for the submission of the thesis. At least one technical paper is to be prepared for possible publication in National/International journal or conferences.The technical paper is to be submitted along with the thesis. The final evaluation of the project will be external evaluation. Internal Continuous assessment: First review: Guide 50 marks Evaluation committee 50 marks Second review: Guide 100 marks Evaluation committee 100 marks

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