# CSVTU BE VI Semester IT Digital Signal Processing Syllabus

CHHATTISGARH SWAMI VIVEKANAND TECHNICAL UNIVERSITY BHILAI (C.G.)

Semester: VI Branch: Information Technology

Subject: Digital Signal Processing

Total Marks in End Semester Exam: 80 Total Tutorial Periods: Nil

Maximum number of Class Tests to be conducted: 02 Total Theory Periods: 40

UNIT-I DISCRETE-TIME SIGNALS

Signal classifications, frequency domain representation, time domain representation,

representation of sequences by Fourier transform, properties of Fourier transform, discrete

time random signals, energy and power theorems.

UNIT-II SAMPLING OF TIME SIGNALS

Sampling theorem, application, frequency domain representation of sampling, and

reconstruction of band limited signal from its samples. Discrete time processing of

continuous time signals, changing the sampling rate using discrete time processing.

UNIT-III Z-TRANSFORM

Introduction, properties of the region of convergence, properties of the Z-transform,

inversion of the Z-transform, applications of Z-transform.

UNIT-IV BASICS OF DIGITAL FILTERS

Classification, properties, time invariant system, finite impulse Response (FIR) system,

infinite impulse response (IIR) system.

Fundamentals of digital filtering, various types of digital filters, design techniques of digital

filters: window technique for FIR, bi-linear transformation and backward difference

methods for IIR filter design, analysis of finite word length effects in DSP, DSP algorithm

implementation consideration. Applications of DSP.

UNIT-V DISCRETE & FAST FOURIER TRANSFORM

DFT and FFT: Discrete Fourier transforms properties of DFT, circular convolution, linear

convolution using DFT, fast Fourier transform: Radix 2 FFT algorithm, decimation in time,

decimation in frequency, bit reversal.

TEXT BOOKS:

1. Digital Signal Processing: Proakis and Manolakis; PHI

2. Digital Signal Processing: Salivahanan, Vallavaraj and Gnanapriya; TMH

REFERENCE BOOKS:

1. Digital Signal Processing: Alon V. Oppenhelm; PHI

2. Digital Signal processing (II-Edition): Mitra, TMH