Saturday, July 21, 2012

EC2314-DIGITAL SIGNAL PROCESSING-ANNA UNIVERSITY SYLLABUS EEE



EC2314-DIGITAL SIGNAL PROCESSING-ANNA UNIVERSITY SYLLABUS EEE



 EC2314                                      DIGITAL SIGNAL PROCESSING                                          L T P C
3  1 0 4
To introduce the concept of analyzing discrete time signals & systems in the time and frequency domain.


·    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 b 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



TEXT BOOKS


L = 45  T = 15  TOTAL = 60 PERIODS


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.


7/21/2012 10:54:00 PM

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