UNIT I

Introduction: Limitations of analog signal processing, Advantages of digital signal

processing and its applications; Some elementary discrete time sequences and systems; Basic

elements of digital signal processing such as convolution, correlation and

autocorrelation, Concepts of stability, causality, linearity, difference equations. DFT and its

properties; Linear Periodic and Circular convolution; Linear Filtering Methods based on

DFT; Fast Fourier Transform algorithm using decimation in time and decimation

frequency techniques; Goertzel algorithm.

UNIT II

The Z Transform: Introduction, Z-Transform, Region of convergence; Inverse Z

Transform methods, properties of Z transform.

UNIT III

Design of Digital Filters: Structures of realization of discrete time system, direct form,

Cascade form, parallel form and lattice structure of FIR and IIR systems. Linear Phase

FIR filters; Design methods for FIR filters; IIR filter design by Impulse Invariance,

Bilinear Transformation, Matched Z-Transformation, Analog and Digital Transformation

in the Frequency Domain. Finite Precision Effects: Fixed point and Floating point

representations, Effects of coefficient unitization, Effect of round off noise in digital

filters, Limit cycles.

UNIT IV

DSP Processors: Architectures of ADSP and TMS series of processor.