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
Listen and9nderstand
$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
Listen and9nderstand
9nderstandin
10linear convolution from
circular convolution1*&h+!erie the .ro.erties 9se of oard Le,t*rin
Listen and9nderstand
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
Listen and9nderstand
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
9nderstandinand a..lyin
1=
#ecimation in fre(uency FF1*&h @btain effi,ient alorith% 9se of oard Le,t*rin
Listen and9nderstand
9nderstandinand a..lyin
1>
computation of inerse #F ,#ifferences and Similarities
between #I and #IF 0"*&h%!erie T for !T 9se of oard Le,t*rin
Listen and9nderstand
6..lyin
1?Introduction, properties of II0filters
Co%.are and analy5e PPTLe,t*rin
syn,in ithPPT
Listen and9nderstand
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
Listen and9nderstand
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
Listen and9nderstand
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
Listen and9nderstand
9nderstandin
and a..lyin
2?
Introduction to FI0 Filter, 1*
&h1/ 9nderstand $ filters 9se of oard Le,t*rinListen and
9nderstand
9nderstandinand a..lyin
30
fre(uency response 1*
&h1/ analy5e 9se of oard Le,t*rinListen and9nderstand
9nderstandinand a..lyin
31fre(uency response 1*&h1/
analy5e 9se of oard Le,t*rinListen and9nderstand
9nderstandinand a..lyin
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
Listen and9nderstand
9nderstandinand a..lyin
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 $#% :
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