Book description
A practical and accessible guide to understanding digital signal processing
Introduction to Digital Signal Processing and Filter Design was developed and finetuned from the author's twentyfive years of experience teaching classes in digital signal processing. Following a stepbystep approach, students and professionals quickly master the fundamental concepts and applications of discretetime signals and systems as well as the synthesis of these systems to meet specifications in the time and frequency domains. Striking the right balance between mathematical derivations and theory, the book features:
Discretetime signals and systems
Linear difference equations
Solutions by recursive algorithms
Convolution
Time and frequency domain analysis
Discrete Fourier series
Design of FIR and IIR filters
Practical methods for hardware implementation
A unique feature of this book is a complete chapter on the use of a MATLAB(r) tool, known as the FDA (Filter Design and Analysis) tool, to investigate the effect of finite word length and different formats of quantization, different realization structures, and different methods for filter design. This chapter contains material of practical importance that is not found in many books used in academic courses. It introduces students in digital signal processing to what they need to know to design digital systems using DSP chips currently available from industry.
With its unique, classroomtested approach, Introduction to Digital Signal Processing and Filter Design is the ideal text for students in electrical and electronic engineering, computer science, and applied mathematics, and an accessible introduction or refresher for engineers and scientists in the field.
An Instructor's Manual presenting detailed solutions to all the problems in the book is available online from the Wiley editorial department.
An Instructor Support FTP site is also available.
Table of contents
 Cover Page
 Title Page
 Copyright
 CONTENTS
 PREFACE
 CHAPTER 1: Introduction

CHAPTER 2: TimeDomain Analysis and z Transform
 2.1 A LINEAR, TIMEINVARIANT SYSTEM
 2.2 z TRANSFORM THEORY
 2.3 USING z TRANSFORM TO SOLVE DIFFERENCE EQUATIONS
 2.4 SOLVING DIFFERENCE EQUATIONS USING THE CLASSICAL METHOD
 2.5 z TRANSFORM METHOD REVISITED
 2.6 CONVOLUTION REVISITED
 2.7 A MODEL FROM OTHER MODELS
 2.8 STABILITY
 2.9 SOLUTION USING MATLAB FUNCTIONS
 2.10 SUMMARY
 PROBLEMS
 MATLAB Problems
 REFERENCES
 CHAPTER 3: FrequencyDomain Analysis

CHAPTER 4: Infinite Impulse Response Filters
 4.1 INTRODUCTION
 4.2 MAGNITUDE APPROXIMATION OF ANALOG FILTERS
 4.3 ANALOG FREQUENCY TRANSFORMATIONS
 4.4 DIGITAL FILTERS
 4.5 IMPULSEINVARIANT TRANSFORMATION
 4.6 BILINEAR TRANSFORMATION
 4.7 DIGITAL SPECTRAL TRANSFORMATION
 4.8 ALLPASS FILTERS
 4.9 IIR FILTER DESIGN USING MATLAB
 4.10 YULEWALKER APPROXIMATION
 4.11 SUMMARY
 PROBLEMS
 MATLAB Problems
 REFERENCES

CHAPTER 5: Finite Impulse Response Filters
 5.1 INTRODUCTION
 5.2 LINEAR PHASE FIR FILTERS
 5.3 FOURIER SERIES METHOD MODIFIED BY WINDOWS
 5.4 DESIGN OF WINDOWED FIR FILTERS USING MATLAB
 5.5 EQUIRIPPLE LINEAR PHASE FIR FILTERS
 5.6 DESIGN OF EQUIRIPPLE FIR FILTERS USING MATLAB
 5.7 FREQUENCY SAMPLING METHOD
 5.8 SUMMARY
 PROBLEMS
 MATLAB Problems
 REFERENCES
 CHAPTER 6: Filter Realizations
 CHAPTER 7: Quantized Filter Analysis
 CHAPTER 8: Hardware Design Using DSP Chips
 CHAPTER 9: MATLAB Primer
 INDEX
Product information
 Title: Introduction to Digital Signal Processing and Filter Design
 Author(s):
 Release date: October 2005
 Publisher(s): WileyInterscience
 ISBN: 9780471464822
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