Tuesday, July 10, 2012

CS9351-DIGITAL SIGNAL PROCESSING-ANNA UNIVERSITY SYLLABUS IT


CS9351-DIGITAL SIGNAL PROCESSING-ANNA UNIVERSITY SYLLABUS IT


CS9351                      DIGITAL SIGNAL PROCESSING                              L T P C
3  0 0  3
AIM:

To give an understanding on the study that deals with the representation of signals as ordered sequences of numbers and how to process those ordered sequences.

OBJECTIVES:

·       To  understan the  basics  of  signals  and  system  by  analyzin the  various transformations available and determine their use to DSP
·    To study on the various digital filtering techniques and how to apply to DSP
·       To study on the ways to estimate signal parameters, and transform a signal into a form that is more informative.
·       To give students a flavour on the applications of DSP in the areas of speech and image

UNIT I             SIGNALS AND SYSTEMS                                                                        9
Basic  elements  of  DSP  –  concepts  of  frequency  in  Analog  and  Digital  Signals  sampling theorem Discrete – time signals, systems Analysis of discrete time LTI systems Z transform Convolution (linear and circular) Correlation.

UNIT II            FREQUENCY TRANSFORMATIONS                                                       9
Introduction to DFT Properties of DFT Filtering methods based on     DFT FFT Algorithms   -  Decimation    in   time  Algorithms Decimation    in   frequency Algorithms Use of FFT in Linear Filtering DCT.

UNIT III           IIR FILTER DESIGN                                                                                  9
Structures of IIR Analog filter design Discrete time IIR filter from analog filter IIR filter desigby Impulse  Invariance,  Bilinear  transformation,  Approximation  of derivatives (HPF, BPF, BRF)  filter design using frequency translation

UNIT IV           FIR FILTER DESIGN                                                                                9
Structures of FIR Linear phase FIR filter Filter design using windowing techniques, Frequency sampling techniques Finite word length effects in digital Filters

UNIT V            APPLICATIONS                                                                                         9
Multirate signal processing Speech compression Adaptive filter Musical sound processing Image enhancement.
TOTAL: 45 PERIODS TEXT BOOKS:
1.   John G. Proakis & Dimitris G.Manolakis,  Digital Signal Processing   Principles,
Algorithms  &  Applications,  Fourth  edition,  Pearson  education  /  Prentice  Hall,
2007.
2.   Emmanuel  C..Ifeachor,  &  Barrie.W.Jervis Digital  Signal  Processing,  Second edition, Pearson Education / Prentice Hall, 2002.

REFERENCES:

1.   Sanjit K. Mitra, Digital Signal Processing   A ComputeBased Approach”  ,Tata
McGraw Hill, Fourth Edition, 2007 .
2.   Alan  V.Oppenheim,  Ronald W. Jchafer  & Hohn.  R.Back,  Discrete  Time  Signal
Processing, Pearson Education, Second Edition, 2001.
3.   Andreas Antoniou, Digital Signal Processing, Tata McGraw Hill

7/10/2012 11:47:00 AM

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