EE 9254 DIGITAL SIGNAL PROCESSING SYLLABUS

ANNA UNIVERSITY CHENNAI :: CHENNAI 600 025 REGULATIONS – 2008
CURRICULUM FROM IV SEMESTERS FOR B.E. ELECTRICAL AND ELECTRONICS ENGINEERING
EE 9254 DIGITAL SIGNAL PROCESSING

AIM:
To introduce the concept of analyzing discrete time signals & systems in the time and
frequency domain.

OBJECTIVES:
To classify signals and systems & their mathematical representation.
To analyse the discrete time systems.
To study various transformation techniques & their computation.
To study about filters and their design for digital implementation.
To study about a programmable digital signal processor & quantization
effects.

UNIT I - INTRODUCTION 9
Classification of systems: Continuous, discrete, linear, causal, stable, dynamic,
recursive, time variance; classification of signals: continuous and discrete, energy
and power; mathematical representation of signals; spectral density; sampling
techniques, quantization, quantization error, Nyquist rate, aliasing effect. Digital
signal representation.

UNIT II - DISCRETE TIME SYSTEM ANALYSIS 9
Z-transform and its properties, inverse z-transforms; difference equation – Solution
by z-transform, application to discrete systems - Stability analysis, frequency
response – Convolution – Fourier transform of discrete sequence – Discrete Fourier
series.

UNIT III - DISCRETE FOURIER TRANSFORM & COMPUTATION 9
DFT properties, magnitude and phase representation - Computation of DFT using
FFT algorithm – DIT & DIF - FFT using radix 2 – Butterfly structure.

UNIT IV - DESIGN OF DIGITAL FILTERS 9
FIR & IIR filter realization – Parallel & cascade forms. FIR design: Windowing
Techniques – Need and choice of windows – Linear phase characteristics. IIR
design: Analog filter design - Butterworth and Chebyshev approximations; digital
design using impulse invariant and bilinear transformation - Warping, prewarping -
Frequency transformation.

UNIT V - DIGIRAL SIGNAL PROCESSORS 9
Introduction – Architecture – Features – Addressing Formats – Functional modes -
Introduction to Commercial Processors

TOTAL : 45 PERIODS

TEXT BOOKS:
1. J.G. Proakis and D.G. Manolakis, ‘Digital Signal Processing Principles, Algorithms
and Applications’, Pearson Education, New Delhi, 2003 / PHI.
2. S.K. Mitra, ‘Digital Signal Processing – A Computer Based Approach’, Tata
McGraw Hill, New Delhi, 2001.

REFERENCES:
1. Alan V. Oppenheim, Ronald W. Schafer and John R. Buck, ‘Discrete – Time Signal Processing’, Pearson Education, New Delhi, 2003.
2. Emmanuel C Ifeachor and Barrie W Jervis ,”Digital Signal Processing – A Practical approach” Pearson Education, Second edition, 2002.
3. Steven W. Smith, “The Scientist and Engineer's Guide to Digital Signal
Processing”, Second Edition, California Technical Publishing San Diego, California. (www.DSPguide.com)
4. B. Venkataramani, M. Bhaskar, ‘Digital Signal Processors, Architecture, Programming and Applications’, Tata McGraw Hill, New Delhi, 2003.