## Sunday, November 11, 2012

### EC2361 DIGITAL SIGNAL PROCESSING DSP SYLLABUS | ANNA UNIVERSITY BE E&I 6TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013

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EC2361 DIGITAL SIGNAL PROCESSING DSP SYLLABUS | ANNA UNIVERSITY BE E&I 6TH SEMESTER SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY SIXTH SEMESTER B.E ELECTRONICS AND INSTRUMENTATION ENGINEERING DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,PREVIOUS YEAR QUESTION PAPERS,MODEL QUESTION PAPERS, CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI, TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009

EC2361 DIGITAL SIGNAL PROCESSING L T P C
3 1 0 4
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.
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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 DIGITAL SIGNAL PROCESSORS 9
Introduction – Architecture – Features – Addressing Formats – Functional modes - Introduction to
Commercial Processors L = 45 T = 15 TOTAL : 60 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, lifornia.(www.DSPguide.com)
4. B. Venkataramani, M. Bhaskar, ‘Digital Signal Processors, Architecture, Programming
and Applications’, Tata McGraw Hill, New Delhi, 2003.