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.