IT6502 DIGITAL SIGNAL PROCESSING | syllabus

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.

                                                                                                      TOTAL (L:45+T:15): 60 PERIODS

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

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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