Book description
A practical and accessible guide to understanding digital signal processing
Introduction to Digital Signal Processing and Filter Design was developed and fine-tuned from the author's twenty-five years of experience teaching classes in digital signal processing. Following a step-by-step approach, students and professionals quickly master the fundamental concepts and applications of discrete-time 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:
Discrete-time 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, classroom-tested 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: Time-Domain Analysis and z Transform
- 2.1 A LINEAR, TIME-INVARIANT 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: Frequency-Domain 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 IMPULSE-INVARIANT TRANSFORMATION
- 4.6 BILINEAR TRANSFORMATION
- 4.7 DIGITAL SPECTRAL TRANSFORMATION
- 4.8 ALLPASS FILTERS
- 4.9 IIR FILTER DESIGN USING MATLAB
- 4.10 YULE-WALKER 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): Wiley-Interscience
- ISBN: 9780471464822
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