DIGITAL SIGNAL PROCESSING AND

APPLICATIONS

DIGITAL SIGNAL PROCESSING AND

APPLICATIONSENT 499ENT 499

Lecture Classes : Tuesday 12 pm to 1 pm

Thursday 10 am to 12 pm

Lab Classes – Vision Lab Taman Muhibah

Ms. Hema C.R.

COURSE OBJECTIVES CO1:Ability to define, describe and

utilize concepts of digital signal in time domain

CO2: Ability to define, describe and utilize concepts of digital signals in frequency domain using Fourier and z-transforms

CO3:Ability to define and apply digital processing of continuous signals and design digital filters

CO4:Ability to define , apply and analyze digital signal processing concepts to develop simple applications

Week LECTURER

LECTURE SESSION TOPICS LAB SESSIONS TEST/ ASSGN.

Week 1 [3 hours] HEMA Characterization and classification of signals - examples of signals - multi-channel - multi-dimensional, continuous versus discrete, analog versus digital.

Mini Project

Week 2 [3 hours] HEMA Define simple operations; Describe examples of typical signals, advantages of digital signal processing compared with analog processing

Mini Project

Week 3 [3 hours] HEMA Define and Describe representations; Apply classifications-time domain characterization-Classification of Discrete Time Systems

Mini Project

Week 4 [1 + 2 hours] HEMA Frequency Analysis: Define and Describe analysis of analog and discrete signals using Fourier Series, Fourier Transforms- Discrete Fourier transforms-properties

Mini Project Tutorial 1

Week 5 [3 hours] HEMA Z transforms: Define Inverse Z transforms, Describe and Apply properties -transfer functions

Mini Project Assignment 1

Week 6 [3 hours] HEMA Mid term Test 1

Week 7 SEMESTER BREAK

Week 8 [1 + 2 hours] HEMA Digital Processing of Continuous Signals: Define sampling of continuous signals

Lab Expt 1

Week 9 [1 + 2 hours]

HEMA Describe and Apply band pass signals, analog filter design, anti- aliasing filters, analog to digital and digital to analog Converters

Lab Expt 2

Week 10 [1+ 2 hours]

HEMA Digital Filters: Define Digital Filters, Describe and Apply Discretization of analog filters

Lab Expt 3

Week 11[3 hours] HEMA IIR and FIR structures and design– window functions – filter realization

Mini Project

Week 12 [1 + 2 hours]

HEMA Applications of Digital Signal Processing: Discuss relation to Mechatronic Systems and relevant applications

Mini Project Tutorial 2

Week 13 SEMESTER BREAK

Week 14 [3 hours] HEMA Applications of Digital Signal Processing: Student Seminar Sessions

Mini Project Assignment 2

Week 15 [3 hours] HEMA Mid term Test 2

Week 16 [3 hours] HEMA Mini Project Viva

DSPA - ENT 499 – COURSE SCHEDULE - SEM 1 2008/2009

Allocation of Course Work Marks

1. Tests - two tests 10%2. Assignments – two 10%3. Laboratory Experiments 30%

1. Lab Report : 5 % [individual report]2. Mini Project

Proposal + Final Report : 10 % [individual report] Viva : 5 % [individual]

3. Lab Test : 10 % [individual] Total Course work marks: 50%

100 % Attendance for Lectures and Labs is essential to write the FINAL EXAM

List of Lab Experiments Expt 1: CO 1

To develop algorithms for generating discrete time sequences signals and perform elementary operations using MATLAB software.

Expt 2: CO 2 To develop an algorithm to evaluate and plot

the Discrete Time Fourier transform, Discrete Fourier Transform and Z transform of a discrete time sequence.

Expt 3: CO 3 To develop algorithm to design analog filters

using Butterworth and Chebychev approximations.

Expt 4:Mini Project CO 4 Design and development of a simple DSP

application for a digital signal in the time or frequency domain.

Mini Project Titles

Developing simple digital signal processing solutions for Industrial, Medical or Community based Applications Sample Projects tiles:

Equalization of digital audio signals Musical sound processing Spectral Analysis of Non-stationary

signals Analysis of Speech Signals Detection of fetal heartbeats EOG signal processing ECG signal processing EMG signal processing Removal of artefacts in EEG signals EGG signal processing

BOOKS Textbook:

S.K. Mitra , ‘Digital Signal Processing: A Computer Based Approach’, Tata McGraw Hill , 2006

Reference Book: E.C. Ifeachor and B.W. Jervis , ‘ Digital Signal

Processing: A Practical Approach’ Prentice Hall, Second Edition 2002

Richard G. Lyons, ‘Understanding Digital Signal Processing’, Prentice Hall, Second Edition, 2004

J. G. Proakis and D. G. Manolakis, ‘Digital Signal Processing: Principles, Algorithms, and Applications’, 1989

Stephen W. Smith, ‘The Scientist and Engineer's Guide to Digital Signal Processing’, California Technical Publishing, 2nd Edition, 2003.