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Digital Signal Processing Using MATLAB,9780495073116
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Digital Signal Processing Using MATLAB

by
Edition:
2nd
ISBN13:

9780495073116

ISBN10:
0495073113
Format:
Paperback
Pub. Date:
8/10/2006
Publisher(s):
CL Engineering

Questions About This Book?

What version or edition is this?
This is the 2nd edition with a publication date of 8/10/2006.
What is included with this book?
  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any CDs, lab manuals, study guides, etc.

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Summary

This supplement to any standard DSP text is one of the first books to successfully integrate the use of MATLAB? in the study of DSP concepts. In this book, MATLAB? is used as a computing tool to explore traditional DSP topics, and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB? makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored. This updated second edition includes new homework problems and revises the scripts in the book, available functions, and m-files to MATLAB? V7.

Table of Contents

PREFACE xi
1 INTRODUCTION
1(6)
Overview of Digital Signal Processing
2(4)
A Few Words about MATLABŪ
6(1)
2 DISCRETE-TIME SIGNALS AND SYSTEMS
7(33)
Discrete-time Signals
7(13)
Discrete Systems
20(2)
Convolution
22(7)
Difference Equations
29(5)
Problems
34(6)
3 THE DISCRETE-TIME FOURIER ANALYSIS
40(40)
The Discrete-time Fourier Transform (DTFT)
40(7)
The Properties of the DTFT
47(6)
The Frequency Domain Representation of LTI Systems
53(7)
Sampling and Reconstruction of Analog Signals
60(14)
Problems
74(6)
4 THE z-TRANSFORM
80(38)
The Bilateral z-Transform
80(4)
Important Properties of the z-Transform
84(5)
Inversion of the z-Transform
89(6)
System Representation in the z-Domain
95(10)
Solutions of the Difference Equations
105(6)
Problems
111(7)
5 THE DISCRETE FOURIER TRANSFORM
118(68)
The Discrete Fourier Series
119(7)
Sampling and Reconstruction in the z-Domain
126(5)
The Discrete Fourier Transform
131(10)
Properties of the Discrete Fourier Transform
141(14)
Linear Convolution Using the DFT
155(7)
The Fast Fourier Transform
162(12)
Problems
174(12)
6 DIGITAL FILTER STRUCTURES
186(45)
Basic Elements
187(1)
IIR Filter Structures
187(14)
FIR Filter Structures
201(11)
Lattice Filter Structures
212(11)
Problems
223(8)
7 FIR FILTER DESIGN
231(82)
Preliminaries
232(3)
Properties of Linear-phase FIR Filters
235(15)
Window Design Techniques
250(22)
Frequency Sampling Design Techniques
272(14)
Optimal Equiripple Design Technique
286(16)
Problems
302(11)
8 IIR FILTER DESIGN
313(73)
Some Preliminaries
314(3)
Characteristics of Prototype Analog Filters
317(22)
Analog-to-Digital Filter Transformations
339(18)
Lowpass Filter Design Using MATLAB
357(5)
Frequency-band Transformations
362(13)
Comparison of FIR vs. IIR Filters
375(1)
Problems
376(10)
9 FINITE WORD-LENGTH EFFECTS
386(97)
Overview
386(1)
Representation of Numbers
387(15)
The Process of Quantization and Error Characterizations
402(7)
Quantization of Filter Coefficients
409(13)
Analysis of A/D Quantization Noise
422(13)
Round-off Effects in IIR Digital Filters
435(27)
Round-off Noise in FIR Filter Realizations
462(12)
Problems
474(9)
10 SAMPLING RATE CONVERSION 483(63)
Introduction
484(2)
Decimation by a Factor D
486(9)
Interpolation by a Factor I
495(6)
Sampling Rate Conversion by a Rational Factor I/D
501(5)
FIR Filter Designs for Sample Rate Conversion
506(22)
FIR Filter Structures for Sampling Rate Conversion
528(10)
Problems
538(8)
11 APPLICATIONS IN ADAPTIVE FILTERING 546(13)
LMS Algorithm for Coefficient Adjustment
548(3)
System Identification or System Modeling
551(1)
Suppression of Narrowband Interference in a Wideband Signal
552(3)
Adaptive Line Enhancement
555(1)
Adaptive Channel Equalization
555(4)
12 APPLICATIONS IN COMMUNICATIONS 559(28)
Pulse-Code Modulation
559(4)
Differential PCM (DPCM)
563(3)
Adaptive PCM (ADPCM) and DPCM
566(4)
Delta Modulation (DM)
570(4)
Linear Predictive Coding (LPC) of Speech
574(4)
Dual-tone Multifrequency (DTMF) Signals
578(4)
Binary Digital Communications
582(1)
Spread-Spectrum Communications
583(4)
BIBLIOGRAPHY 587(2)
INDEX 589


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