IT6502 DIGITAL SIGNAL PROCESSING|Syllabus

IT6502 DIGITAL SIGNAL PROCESSING L T P C 3 1 0 4

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 OBJECTIVES:

 To introduce discrete Fourier transform and its applications.
 To teach the design of infinite and finite impulse response filters for filtering undesired signals.
 To introduce signal processing concepts in systems having more than one sampling frequency.

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 – Correlation.

UNIT II                      FREQUENCY TRANSFORMATIONS                                                 (9) 

Introduction to DFT – Properties of DFT – Circular Convolution - Filtering methods based on DFT – FFT Algorithms - Decimation – in – time Algorithms, Decimation – in – frequency Algorithms – Use of FFT in Linear Filtering – DCT – Use and Application of DCT.

UNIT III                IIR FILTER DESIGN                                                                                  (9)

 Structures of IIR – Analog filter design – Discrete time IIR filter from analog filter – IIR filter design by Impulse Invariance, Bilinear transformation, Approximation of derivatives – (LPF, HPF, BPF, BRF) filter design using frequency translation.

 UNIT IV                  FIR FILTER DESIGN                                                                               (9) 

Structures of FIR – Linear phase FIR filter – Fourier Series - Filter design using windowing techniques (Rectangular Window, Hamming Window, Hanning Window), Frequency sampling techniques

 UNIT V                     FINITE WORD LENGTH EFFECTS IN DIGITAL FILTERS            (9)

 Binary fixed point and floating point number representations – Comparison - Quantization noise – truncation and rounding – quantization noise power- input quantization error- coefficient quantization error – limit cycle oscillations-dead band- Overflow error-signal scaling.

                                                                                                       TOTAL (L:45+T:15): 60 PERIODS
TEXT BOOK:
1. John G. Proakis and Dimitris G.Manolakis, “Digital Signal Processing – Principles, Algorithms & Applications”, Fourth Edition, Pearson Education, Prentice Hall, 2007.
REFERENCES:
1. Emmanuel C.Ifeachor, and Barrie.W.Jervis, “Digital Signal Processing”, Second Edition, Pearson   Education, Prentice Hall, 2002.
2. Sanjit K. Mitra, “Digital Signal Processing – A Computer Based Approach”, Third Edition, Tata Mc Graw Hill, 2007.
3. A.V.Oppenheim, R.W. Schafer and J.R. Buck, Discrete-Time Signal Processing, 8th Indian Reprint, Pearson, 2004.
4. Andreas Antoniou, “Digital Signal Processing”, Tata McGraw Hill, 2006.

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