Course Plan and Evaluation Plan

1. Course Code : EC 272 2. Course Title : Digital Signal Processing3. L – T – P : 3 – 1 – 0 4. Credits : 45. Pre requisites : EC 221 6. Teaching Dept. : Electronics & Communication Engg.7. Course Instructor : Deepu V.8. Objectives : On completion of the course, the student should be able to

• Analyze discrete time signals in time and frequency domains• Design implement and analyze digital filters• Implement signal processing algorithms in Software• Relate theoretical Concepts to practical applications• Have an appreciation for the applications of DSP

9. Course ContentModule Topics Objectives Lectures

Introduction Introduction to DSP, Course structure, Motivations

Appreciate the relevance of thecourse

L1

Time domainanalysis

Basic discrete time signals, operations and properties, mathematical view,Systems – properties, linear time invariant systems, impulse response, convolution, causality and stability.Difference equations

Examine signals and systemsand analyze their propertiesAnalyze LTI system behaviourFormulate and solve differenceequations of LTI systems

L2-L10

Transformdomainanalysis

Z Transform – definition and properties,ROC, transfer function, poles and zeroes, application to discrete systems.Representation of systems – signal flowgraph, realization of z-domain transfer function

Analyze systems using Ztransformrelate system behaviour in tiemand frequency domain to polezero plotSFG analysis

L11– L15

Freqeuncydomainanalysis

Fourier series and fourier transform. DFS properties, Properties and applications of DTFT. Relationship between time, z and frequency domains,Relation between frequency domain representation in continuous and discrete domain. Sampling in frequencydomain, DFT, Properties of DFT. Linearconvolution using DFT. FFT- DIT and DIF

Represent periodic sequecesthrough DFS

Analyse system behaviourusing DTFT

Relate DFS, DFT and DTFT

Efficient Computation ofDFT

L16- L30

Relatingcontinousand discretetime

Sampling, Nyquist theorem, relation between continuous and discrete time spectra, aliasing, reconstruction

Understand the conversion ofcontinous time signal todiscrete time and vice-versa.

L31-L35

DigitalFilters

Characteristics of Digitial Filters, Filter structures, FIR filter design – window method, frequency sampling method, optimal filter design., IIR filter design –

Design analyse and implementFIR/IIR filters

Understand the finite word

L36-L45

Module Topics Objectives Lectures

Filter design using butterworth, chebyshev and Elliptic approximations, direct design of IIR. Finite word lengtheffects

length effects

Applicationsof DSP(Self Study)

Audio Processing – short time spectrum, audio coding, audio processing

Appreciate potentialapplications

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10. Reference Books1. A. V. Oppenheim and R.W. Schafer, Discrete Time Signal Processing, 20022. Paolo Prandoni and Martin Vetterli, Signal Processing for Communications,

(http://www.sp4comm.org/download.html), 20133. C. Sidney Burrus (ed) Digital Signal Processing and Digital Filter design (draft)

http://cnx.org/content/col10598/latest 4. Sanjit K. Mitra, Digital Signal Processing: A Computer Based Approach, TMH, 2006

11. Evaluation Plan

Mid-semester Exam : 25%Assignment/Quiz : 25%End Semester Exam : 50%

Prepared By: Approved By:

Deepu Vijayasenan Prof. Muralidhar KulkarniCourse Instructor Head, Dept of E&C