IT6502 DIGITAL SIGNAL PROCESSING Syllabus Semester V IT BTECH Anna University-Regulation-2013

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



OUTCOMES:
Upon completion of the course, students will be able to

• Perform frequency transforms for the signals.
• Design IIR and FIR filters.
• Finite word length effects in digital filters

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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