10865_13041_dsp course handout220713 (1)

8/10/2019 10865_13041_DSP COURSE HANDOUT220713 (1)

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K L UNIVERSITY

B. Tech. III Year, I Semester

Academic Year: 20141!

DEPARTMENT OF ELECTRONICS & COMMUNICATION ENGINEERING

"#URS E $AN%#UT

1.Course Name : DIGITAL SIGNAL PROCESSING

2.Course Detail : Theory & Lab (Professional Core)

3.Course Structure : Credits: 4 L T P: 3--02

4.Prere!uisite : 11-C203

".Course Coor#i$ator : !r T "en#ata $a%a rishna

%.Team &em'ers : 1) 's Ch ri aya

2) 's "ara *%ari

3) !r + '*rthy

7. COURSE CONTENT & OVERVIEW

Digital Signal Processing is concerned with developing and

understanding of the concepts underlying digital signal processing. It

impacts all modern aspects of life and sciences; from communication,

entertainment to health and economics.This ,o*rse deals !T and its

.ro.erties/ T / desin of analo filters li#e *tterorth/ Chebyshe/

and diital filter desin for both $ & $ filters !ifferent filter

str*,t*res for the reali5ation of diital filters ill be dis,*ssed The

%ain a..li,ations of !P are a*dio sinal .ro,essin/ a*dio

,o%.ression/ diital i%ae .ro,essin/ ideo ,o%.ression/ s.ee,h

.ro,essin/ s.ee,h re,onition/ diital ,o%%*ni,ations/ et,


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&. 'r()ram #*tc(mes

'r()ram #*tc(me

1. Apply knowledge of mathematics, science, engineering fundamentals and an

engineering specialization to the conceptualization of engineering models.

Selected, because Fundamentals of usage can be modeled

2. Identify, formulate, research literature and sole complex engineering problems

reaching substantiated conclusions using first principles of mathematics and

engineering sciences.

Selected, because literature proide ample instances that enable soling comple! engineering

problems.

". #esign solutions for complex engineering problems and design systems, components

or processes that meet specified needs with appropriate consideration for public health

and safety, cultural, societal, and enironmental considerations.

$ot Selected

%. &onduct inestigations of complexproblems including design of e!periments, analysis

and interpretation of data, and synthesis of information to proide alid conclusions.

Selected

'. &reate, select and apply appropriate techni(ues, resources, and modern engineering

tools, including prediction and modeling, to complex engineering actiities, with an

understanding of the limitations.

Selected,

). Function effectiely as an indiidual, and as a member or leader in dierse teams and

in multi*disciplinary settings.


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$ot Selected as it is not coered in the course.

+. &ommunicate effectiely on complex engineering actiities with the engineering

community and with society at large, such as being able to comprehend and write

effectie reports and design documentation, make effectie presentations, and gie and

receie clear instructions.

Selected.

. #emonstrate understanding of the societal, health, safety, legal and cultural issues and

the conse(uent responsibilities releant to engineering practice.

$ot Selected.

-. nderstand and commit to professional ethics and responsibilities and norms of

engineering practice.

Selected.

1/. nderstand the impact of engineering solutions in a societal conte!t and demonstrate

knowledge of and need for sustainable deelopment.

Selected.

11. #emonstrate a knowledge and understanding of management and business practices,

such as risk and change management, and understand their limitations.

$ot Selected.

12. 0ecognize the need for, and hae the ability to engage in independent and life*long

learning.

$ot Selected.


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+. "()iti-e 'r(cesses ass(ciated ith the c(*rse

S.N(. "()iti-e

Le-e/

Se/ected

N(t

Se/ected

E/aati( 3(r se/ecti( ad (se/ecti( ased

( the at*re (3 the c(*rse ad istr*ct(r5s

re3ereces

1. 0emember Selected Seeral concepts like formulas for #FS and #F.

2. nderstand Selected nderstanding concepts liks circular conolution and

linear conolution

" Apply Selected Applying #F methods to compute linear

conolution

%. Analyze Selected After designing the II0 and FI0 filters fre(uency

response to be analyzed.

' aluate Selected #ifferent windowing techni(ues to be ealuated

) &reate Selected Students need to design FI0 and II0 filters.

10. "ate)(ries (3 K(/ed)e ass(ciated ith E)ieeri) "(*rses:

S

.N(.

K(/ed)e

"ate)(r6

Se/ected

N(t

Se/ected

E/aati( 3(r se/ecti( ad (se/ecti(

ased ( the at*re (3 the c(*rse ad

istr*ct(r5s re3ereces

1. Factual Selected $eeds the facts about signals, transformation from

time to fre(uency.

2. &onceptual Selected &onceptual knowledge like problem soling thro3thinking and reasoning, usability, design and

ealuation of FF algorithms and design of filters.

" 4rocedural Selected 4rocedures need to design analog filters and to

conert low pass filter to other types of filters

%. Fundamental

#esign

&oncepts

Selected #esign concepts are needed to design databases as

planned.


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12. "(metecies: At the end of the course the student will ac(uire following competencies.

"(metec6 '#s ; Le-e/s

&1 Application of discrete maths, complex

variables, and transform theory to discrete-time

signal processing.

1*", 2*1,

&2 Able to apply transform methods to the analysis of

analogue and digital linear time-invariant systems.1*" ,2*"

&". The student will demonstrate an understanding of

frequency-domain analysis and processing by:z-transform

,!T,"mplementing the !ast !ourier Transform #!!T$.

1*",2*"

&% The student will demonstrate an understanding of

digital

filters by:iscussing the ideal filter and practical

filter specifications.Analyzing the

characteristics,

implementation, and design of escribing the

structure, algorithms, and design concepts of

different filters.

esign and analyze analogue and digital filters for

a given specification.

"*1, %*2, '*1,+*2

&' %se basic &' functions and algorithms #i.e., !"(

filters, ""( filters, windows, etc.$ to formulate and

solve engineering problems

"*1, %*2, '*1,+*2


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1"&

&riteria and

Specifications


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1!. S6//a*s

Introduction to DSP: Elements of DSP, advantages and applications of DSP .DFT: Discrete

Fourier Series, Properties of DFS, Discrete Fourier Transform, Properties of DFT:periodicity, linearity, circular shift of sequence, time reversal of a sequence, circular

frequency shift, complex conjugate property, circular convolution, circular correlation,

multiplication two sequences, Parsevals theorem.FFT : Linear convolution using DFT,

comparison of circular convolution and linear convolution, linear convolution from circular

convolution, FFT introduction, Decimation in time FFT, Decimation in frequency FFT,

computation of inverse DFT, differences and similarities between DIT and DIF algorithm.

IIR FILTER: Introduction, properties of IIR filters, Design of Digital Butterworth and

chebyshev filters using bilinear transformation, Impulse invariance transformation

methods, Design of digital filters using frequency transform method.FIR FILTERS:

Introduction, characteristics of linear phase FIR filters, frequency response, Designing FIR

filters using Windowing methods, comparison of IIR & FIR filters. REALIZATION OF

DIGITAL FILTERS: Solution of Difference Equations of Digital Filters, System Function,

Stability Criterion, Frequency Response of Stable Systems, Realization of Digital Filters

Direct, Canonic, Cascade and Parallel Forms.

TEXT BOOKS

1.John G Proakis, Dimtris G Manolakis, Digital Signal Processing: Principles, Algonithms

and Applications, Pearson Education.

2. Ludeman Fundamentals of Digital Signal Processing, Wiley India Pvt. Ltd.

REFERENCE TEXT BOOKS

1.Alan V Oppenherim, Ronald W Schafer, John R Back, Discrete Time Signal Processing,

Pearson Education, 2ndEdition.2.Emmanuel C Ifechor, Digital Signal Processing, Pearson Education, 2ndEdition.3.Andreas Antonious, Digital Signal Processing , Signals, Systems and Filters Mc-Graw

Hill,

4.Dimitris G. Manolakis, Vinay K. Ingle, Applied Digital Signal Processing : Theory and

practice, Cambridge University Press5. Kumar, A. Anand, Digital Signal Processing, PHI.

SIMULATION TEXT BOOKS

1.Vinay . Ingle, John G Proakis, Digital Signal Processing Using Matlab ,Pearson

2.Paul Tobin, Pspice for Digital Signal Processing, Morgan & ClayPool.

3.Nasser kehtarnavaz, Namjin kim, Digital Signal Processing System Level Design using

LabVIEW, Elsevier.

4. E. S. Gopi, "Mathematical Summary for Digital Signal Processing Applications with

Matlab", Springer

5. Forester W. Isen, "DSP for MATLAB and LabVIEW Volume III Digital Filter Design",

Morgan & Clay Pool

6. Robert J. Schilling,Sandra L. Harris,"Fundamentals of Digital Signal Processing UsingMATLAB, 2e ",Cengage Learning

7. Samuel D. Stearns, Don R. Hush,"Digital Signal Processing with Examples in MATLAB,

2e ",CRC Press, Inc.


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1=.Se/3Leari) T(ics:

To(ic Source

!is,rete Ti%e sinals and syste%s Digital Signal Processing:

Principles, Algonithms andApplications,

!TT Pro.erties Ludeman Fundamentals of DigitalSignal Processing

6nalo ilter desin Ludeman Fundamentals of DigitalSignal Processing

re7*en,y $es.onse Digital Signal Processing:Principles, Algonithms andApplications,

tability of a syste%Digital signal Processing,Ramesh

Babu

8 transor%sDigital signal Processing,RameshBabu


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1>. Sessi( Less( '/a:

Sessio

$ .NoCo$te$t ) Source Lear$i$* o'+ecti,e

Teac-i$*

&et-o#olo*

/acult

A((roac-

Stu#e$t

a((roac-

Lear$i$*

outcome

1Introduction to DSP:

Elements of DSP%.ortan,e of !P 9se of oard Le,t*rin

Listen and9nderstand

$e%e%berin

2Advantages and applications

of DSP6dantaes 9se of oard Le,t*rin

Listen and

9nderstand$e%e%berin

3Discrete Fourier Series

4roperties of #FS$2-!erie the .ro.erties 9se of oard Le,t*rin


$e%e%berin

4 4roperties of #FS$2-3 !erie the .ro.erties 9se of oard Le,t*rinListen and

9nderstand $e%e%berin

#iscrete Fourier ransform 9nderstand !is,rete o*rir

Transfor%;*i5 ;*i5 'aster

6nser;*estions

6..lyin

circular convolution, circular

correlation1*&h+ !erie the .ro.erties 9se of oard Le,t*rinListen and9nderstand

9nderstandin

?

multiplication twosequences, 'arseval)s

theorem, 1*&h+!erie the .ro.erties 9se of oard Le,t*rin


9nderstandin

10linear convolution from

circular convolution1*&h+!erie the .ro.erties 9se of oard Le,t*rin


9nderstandin

11

comparison of circular

convolution and linear

convolution1*&h+Co%.*tation of Liner ,onol*tion

*sin ,ir,*lar ,onol*tion9se of oard Le,t*rin

Listen and

9nderstand6..lyin

12 Linear convolution using DFT

theorem0"*&h"

Co%.are and *nderstand PPT Le,t*rinsyn,in ith

PPT


6..lyin


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13

comparison of circular

convolution and linear

convolution0"*&h"Co%.*te and *nderstand 9se of oard Le,t*rin

Listen and

9nderstand

9nderstandin

14FF introduction 1*&h

9nderstand and a..ly 9se of oard Le,t*rinListen and9nderstand

9nderstandinand a..lyin

1

#ecimation in time FF 1*

&h* @btain effi,ient alorith% 9se of oard Le,t*rinListen and

9nderstand

9nderstandin

and a..lyin

1< #ecimation in time FF 1*&h @btain effi,ient alorith% 9se of oard Le,t*rinListen and9nderstand


1=

#ecimation in fre(uency FF1*&h @btain effi,ient alorith% 9se of oard Le,t*rin



1>

computation of inerse #F ,#ifferences and Similarities

between #I and #IF 0"*&h%!erie T for !T 9se of oard Le,t*rin


6..lyin

1?Introduction, properties of II0filters

Co%.are and analy5e PPTLe,t*rin

syn,in ithPPT


6..lyin

202*&h"

9nderstand the desin .ro,ed*re 9se of oard Le,t*rinListen and9nderstand

9nderstandin

21 #esign of Analog;utterworth filter 2*&h" !esin of analo filters 9se of oard Le,t*rinListen and9nderstand

9nderstandin

22

#esign of analog chebyshefilters 2*&h" 9nderstand 9se of oard Le,t*rin


9nderstandin

23

Impulse inariance

transformation 2*&h% 9nderstand Transfor%ation 9se of oard Le,t*rinListen and9nderstand

6..lyin

24

;ilinear transformation 2*

&h% 9nderstand Transfor%ation PPTLe,t*rin

syn,in ithPPT


9nderstandin

2 #esign of #igital ;utterworth

filter

9nderstand Transfor%ation 9se of oard Le,t*rin Listen and

9nderstand

9nderstandin

and a..lyin


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&h1/

2*&h%

2

#esign of digital filters usingfre(uency transform method.

1*&h1/!esin and analy5e 9se of oard Le,t*rin


9nderstandin

and a..lyin

2?

Introduction to FI0 Filter, 1*

&h1/ 9nderstand $ filters 9se of oard Le,t*rinListen and

9nderstand


30

fre(uency response 1*

&h1/ analy5e 9se of oard Le,t*rinListen and9nderstand


31fre(uency response 1*&h1/

analy5e 9se of oard Le,t*rinListen and9nderstand


32

#esigning FI0 filters using0ectangular and ;artlett


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3=

&omparison of II0 > FI0

filters 1*&h1/ Co%.are and analy5e PPTLe,t*rin

syn,in ithPPT

Listen and

9nderstand

$e%e%berin

and

9nderstandin

3>Solution of #ifference

(uation@btain sol*tion 9se of oard Le,t*rin



3?

Solution of #ifference(uation 2*&h2 @btain sol*tion 9se of oard Le,t*rin

Listen and

9nderstand

6..lyin

40

Solution of #ifference(uation 2*&h2 @btain sol*tion 9se of oard

@btain

sol*tion9se of oard @btain sol*tion

41

System Function, Stability

&riterion 0"*&h2 9nserstand analy5e PPTLe,t*rin

syn,in ithPPT

Listen and

9nderstand

6naly5in and

a..lyin

42Fre(uency 0esponse of Stable

Systems 0"*&h29nserstand analy5e PPT

Le,t*rinsyn,in ith

PPT

Listen and

9nderstand

6naly5in and

a..lyin

43

0ealization of Filters *#irect

and&anonic 2*&h' %.le%entation of ilters 9se of oard Le,t*rinListen and

9nderstand

6..lyin

44

0ealization of Filters*&ascade 2*&h' %.le%entation of ilters 9se of oard Le,t*rin

Listen and

9nderstand

6..lyin

4

0ealization of Filters

*4arallel 2*&h' %.le%entation of ilters 9se of oard Le,t*rinListen and

9nderstand

6..lyin


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1&.La E-a/*ati( scheme:

S/.

N(.

Nat*re (3

eamiati(

?arBs

C

T6e (3 eamiati( ad

m(de (3 AssessmetScheme (3 eamiati(

1 ?6ab

)/Semester end lab e!amination

@e!ternal ealuation

his e!amination (uestion paper will be for a

ma!imum of )/ marks

%/

2/6ab Internal7 1 2 Internal e!ams each for 2/ marks and of 2 hr

duration are to be conducted. Aerage of twoe!ams will be considered.6ab Internal7 1

1' &ontinuous

aluation&ontinuous aluation @day to day Bia > 0ecord

'Attendance C &lass

not

' marks are allotted for attendance and class

notes

1+.The(r6 E-a/*ati( scheme:

Internal 5arks D %/

!ternal 5arks D )/

Internal 5arks D %/

!ternal 5arks D )/

S/.

N(.

Nat*re (3

eamiati(

?arBs

C

T6e (3 eamiati( ad

m(de (3 AssessmetScheme (3 eamiati(

2 ?heory

)/Semester end e!amination

@e!ternal ealuation

his e!amination (uestion paper in theorysubEects will be for a ma!imum of )/ marks

%/

2/est 7 1

2 mid 7 e!ams each for 2/ marks and of 1 hrduration are to be conducted. For a total of 2/marks, +'G of better of the two and 2'G of theother are added and reported.

est * 2

' Assignment est) Huestion to be released in adance.

2 Huestions allotted by !aminers choice to

be answered. #uration %' min.

' =ome

Assignments

Aerage of =ome Assignments minimum 2 per

subEect

' Surprise Huiz :ne surprise (uiz per subEect

'Attendance C &lass

notes

' marks are allotted for attendance and class

notes

N(te: +'G of heory and 2'G of lab marks will be considered as theory internal marks.

+'G of heory and 2'G of lab marks will be considered as theory e!ternal marks .


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Attedace Dei)hta)e 0! ?ars

Attendance of +' G and aboe but less than/ G 01 5ark Attendance of / G and

aboe but less than ' G 02 5arks

Attendance of ' G and aboe but less

than

-/ G 0< 5arks Attendance of -/ G and

aboe but less than -' G 04 5arks

Attendance of -' G and aboe 0! 5arks

20. "hamer c(s*/tati( h(*rs:

%D// pm to 'D// pm &S block Fourth Floor Faculty &abin

21. N(tices:

A66 notices regarding this subEect are displayed on the e*learning site only

22. Si)at*re (3 the "(*rse :

"((rdiat(r

24. Si)at*re (3 the r(* :

$ead

2!. Si)at*re (3 the $#% :

10865_13041_dsp course handout220713 (1)

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