Digital Filters and Signal Processing with MATLAB Exercises [Paperback]

DIGITAL FILTERS AND SIGNAL PROCESSING, with MATLAB® Exercises  presents a general survey of digital signal processing concepts, design methods, and implementation considerations, with an emphasis on digital filters. It is designed as a textbook for senior undergraduate or first-year graduate courses in digital signal processing. While mathematically rigorous,
the book stresses an intuitive understanding of digital filters and signal processing systems, with numerous realistic and relevant examples. The book is primarily written for practicing engineers and scientists. The readers will also find the book to be a most useful text-cum-reference.

This edition contains a substantial amount of new material including, in particular, the addition of MATLAB<!> exercises to deepen the students' understanding of basic DSP principles and increase their proficiency in the application of these principles. The use of the exercises is not mandatory, but is highly recommended.

Salient features include ... normalised frequency utilised in the DTFT, e.g., X(e^jw ) ••• new computer generated drawings and MATLAB@plots throughout the book. The book contains 13 chapters. Some important topics viz. sampling and the DTFT, expanded coverage of Types MV linear-phase FIR filters, material on power- and doubly-complementary filters, quadrature-mirror filters and their application in filter banks, the design of maximally-flat FIR filters, roundoff-noise reduction using error feedback have been included with many new problems added throughout. 

1.     Introduction: Terminology and Motivation

2.     Discrete- Time Signals and Systems

3.     The z Transform

4.     Input/Output Relationships

5.     Discrete-Time Networks

6.     Sampling and Fourier Analysis

7.     Discrete Fourier Transform

8.     IIR Filter Design by Transformation

9.     FIR Filter Design Techniques

10.   Filter Design by Modeling 

11.   Quantization Effects

12.   Digital Filter Implementation

13.   Filter and Systems Examples