DIGITAL SIGNAL PROCESSING AND APPLICATIONS ENT 499 Ms. Hema C.R. Lecture Classes : Tuesday 12 pm to 1 pm Thursday 10 am to 12 pm Lab Classes – Vision Lab Taman Muhibah

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

DSPA - ENT 499 – COURSE SCHEDULE - SEM 1 2008/2009 Week LECTU RER 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] Define simple operations; Describe examples of typical signals, advantages of digital signal processing compared with analog processing Week 3 [3 hours] Define and Describe representations; Apply classifications-time domain characterization-Classification of Discrete Time Systems Week 4 [1 + 2 hours] Frequency Analysis: Define and Describe analysis of analog and discrete signals using Fourier Series, Fourier Transforms- Discrete Fourier transforms-properties Tutorial 1 Week 5 [3 hours] Z transforms: Define Inverse Z transforms, Describe and Apply properties -transfer functions Assignment 1 Week 6 [3 hours] Mid term Test 1 Week 7 SEMESTER BREAK Week 8 [1 + 2 hours] Digital Processing of Continuous Signals: Define sampling of continuous signals Lab Expt 1 Week 9 [1 + 2 hours] 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] Digital Filters: Define Digital Filters, Describe and Apply Discretization of analog filters Lab Expt 3 Week 11[3 hours] IIR and FIR structures and design– window functions – filter realization Week 12 [1 + 2 hours] Applications of Digital Signal Processing: Discuss relation to Mechatronic Systems and relevant applications Tutorial 2 Week 13 SEMESTER BREAK Week 14 [3 hours] Applications of Digital Signal Processing: Student Seminar Sessions Assignment 2 Week 15 [3 hours] Mid term Test 2 Week 16 [3 hours] Mini Project Viva

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: Reference Book: 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.