MATLAB第三版：数字信号处理实战指南

需积分: 9 103 浏览量更新于2024-07-17 收藏 10.51MB PDF 举报

"Digital Signal Processing Using MATLAB 第三版，由Vinay K. Ingle和John G. Proakis合著，是一部利用MATLAB进行数字信号处理的教材。本书旨在教授读者如何运用MATLAB工具来理解和实现数字信号处理的概念和技术。" 《Digital Signal Processing Using MATLAB》第三版是针对数字信号处理领域的经典著作，特别强调了使用MATLAB这一强大的计算平台来辅助学习和实践。MATLAB是MathWorks公司开发的一种交互式编程环境，广泛应用于工程、科学计算以及数据分析等领域，尤其在信号处理中有着不可替代的作用。本书的内容涵盖了数字信号处理的基础理论和应用，包括但不限于信号的表示与采样、数字滤波器设计、傅立叶变换、离散时间信号的谱分析、数字调制技术、以及多速率信号处理等主题。作者通过MATLAB实例，帮助读者深入理解这些概念，并提供实际操作的经验。 MATLAB在数字信号处理中的应用是本书的重点，读者将学习到如何编写MATLAB代码来实现各种信号处理算法，例如快速傅立叶变换(FFT)、滤波器设计（IIR和FIR）、以及信源编码和信道编码等。此外，书中可能还涉及了高级话题，如自适应信号处理、谱估计以及现代通信系统中的信号处理技术。本书的每一章都可能包含详细的MATLAB示例和练习，以促进读者的动手能力。通过解决这些问题，读者不仅能够巩固理论知识，还能提升在实际问题中应用MATLAB解决数字信号处理问题的能力。编辑评审已确认，尽管部分第三方内容可能因电子版权问题被省略，但这些内容的缺失不会实质影响整体学习体验。Cengage Learning保留权利在后续的版权限制下进一步删除内容。《Digital Signal Processing Using MATLAB》第三版是为那些希望掌握数字信号处理理论并熟悉MATLAB工具的学生和工程师量身打造的宝贵资源。通过阅读和实践书中的内容，读者将能够熟练地在MATLAB环境下进行数字信号处理，从而更好地理解和应用相关技术。

PREFACE xiii

implementation. The discrete Fourier series is used to introduce the

discrete Fourier transform, and several of its properties are demon-

strated using MATLAB. Topics such as fast convolution and fast

Fourier transform are thoroughly discussed.

Chapter 6, Implementation of Discrete-Time Filters: This chapter dis-

cusses several structures for the implementation of digital ﬁlters.

Several useful MATLAB functions are developed for the determination

and implementation of these structures. Lattice and ladder ﬁlters are

also introduced and discussed. In addition to considering various ﬁl-

ter structures, we also treat quantization eﬀects when ﬁnite-precision

arithmetic is used in the implementation of IIR and FIR ﬁlters.

Chapter 7, FIR Filter Design: This chapter and the next introduce the im-

portant topic of digital ﬁler design. Three important design techniques

for FIR ﬁlters–namely, window design, frequency sampling design, and

the equiripple ﬁler design–are discussed. Several design examples are

provided using MATLAB.

Chapter 8, IIR Filter Design: Included in this chapter are techniques used

in IIR ﬁlter design. The chapter begins with the treatment of some

basic ﬁlter types, namely, digital resonators, notch ﬁlters, comb ﬁlters,

all-pass ﬁlters, and digital sinusoidal oscillators. This is followed by

a brief description of the characteristics of three widely used analog

ﬁlters. Transformations are described for converting these prototype

analog ﬁlters into diﬀerent frequency-selective digital ﬁlters. The chap-

ter concludes with several IIR ﬁlter designs using MATLAB.

Chapter 9, Sampling Rate Conversion: This chapter teats the important

problem of sampling rate conversion in digital signal processing. Top-

ics treated include decimation and interpolation by integer factors,

sampling rate conversion by rational factor, and ﬁlter structures for

sampling rate conversion.

Chapter 10, Round-oﬀ Eﬀects in Digital Filters: The focus of this chapter

is on the eﬀects of ﬁnite-precision arithmetic to the ﬁltering asp ects

in signal processing. Quantization noise introduced in analog-to-digital

conversion is characterized statistically and the quantization eﬀects in

ﬁnite precision multiplication and additions are also modeled statisti-

cally. The eﬀects of these errors in the ﬁlter output are characterized as

correlated errors, called limit cycles and as uncorrelated errors, called

round-oﬀ noise.

Chapter 11, Applications in Adaptive Filtering: This chapter is the ﬁrst

of two chapters on projects using MATLAB. Included is an introduc-

tion to the theory and implementation of adaptive FIR ﬁlters with

projects in system identiﬁcation, interference suppression, narrowband

frequency enhancement, and adaptive equalization.

Copyright 2010 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s).

Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

xiv PREFACE

Chapter 12, Applications in Communications: This chapter focuses on

several projects dealing with waveform representation and coding

and with digital communications. Included is a description of pulse-

co de modulation (PCM), diﬀerential PCM (DPCM) and adaptive

DPCM (ADPCM), delta modulation (DM) and adaptive DM (ADM),

linear predictive coding (LPC), generation and detection of dual-

tone multifrequency (DTMF) signals, and a description of signal de-

tection applications in binary communications and spread-spectrum

communications.

ABOUT THE SOFTWARE

The book is an outgrowth of our teaching of a MATLAB-based under-

graduate DSP course over several years. Most of the MATLAB functions

discussed in this book were developed in this course. These functions are

collected in the book toolbox called DSPUM and are available online

on the book’s companion website. Many examples in the book contain

MATLAB scripts. Similarly, MATLAB plots were created using scripts.

All these scripts are made available at the companion website for the bene-

ﬁt of students and instructors. Students should study these scripts to gain

insight into MATLAB procedures. We will appreciate any comments, cor-

rections, or compact coding of these functions and scripts. Solutions to

problems and the associated script ﬁles will be made available to instruc-

tors adopting the book through the companion website. To access the

book’s companion website and all additional course materials, please visit

www.cengagebrain.com. At the CengageBrain.com home page, search for

the ISBN of your title (from the back cover of your book) using the search

boxatthe top of the page. This will take you to the product page where

these resources can be found.

Further information about MATLAB and related publications may

be obtained from

The MathWorks, Inc.

24 Prime Park Way

Natick, MA 01760-1500

Phone: (508) 647-7000 Fax: (508) 647-7001

E-mail: info@mathworks.com

WWW: http://www.mathworks.com

PREFACE xv

ACKNOWLEDGMENTS

We are indebted to numerous students in our undergraduate DSP course

at Northeastern University who provided us a forum to test teaching ideas

using MATLAB and who endured our constant emphasis on MATLAB.

Many eﬃcient MATLAB functions used in this book were developed by

some of these students. We are also indebted to reviewers of the original

edition, whose constructive criticism resulted in a better presentation of

the material: Abeer A. H. Alwan, University of California, Los Angeles;

Steven Chin, Catholic University; Prof. Huaichen, Xidian University, P. R.

China; and Joel Trussel, North Carolina State University. The follow-

ing reviewers provided additional encouragement, numerous reﬁnements,

and useful comments for the second edition: Jyotsna Bapat, Fairleigh

Dickinson University; David Clark, California State Polytechnic Univer-

sity; Artyom Grigoryan, University of Texas, San Antonio; Tao Li, Univer-

sity of Florida; and Zixiang Xiong, Texas A & M University. Finally, based

on their use of the second edition, the following reviewers provided sev-

eral suggestions, changes, and modiﬁcations that led to the third edition:

Kalyan Mondal, Fairleigh Dickinson University; Artyom M. Grigoryan,

University of Texas at San Antonio; A. David Salvia, Pennsylvania State

University; Matthew Valenti, West Virginia University; and Christopher

J. James,University of Southampton, UK. We sincerely thank all of them.

We would also like to take this opportunity to acknowledge several

people at Cengage Learning without whom this project would not have

been possible. We thank the Publisher, Chris Shortt, for encouraging the

third edition. The Acquisitions Editor, Swati Meherishi, took considerable

amount of interest in the development of the third edition and provided

ample support for it. This project could not have been completed within

time limits without her constant push and we thank her for all her help.

Debarati Roy and Carly Rizzo coordinated the manuscript development

and preparation and Hilda Gowans provided the overall assistance in the

project. We sincerely thank them for their eﬀorts. Finally we express our

sincere gratitude to Rose P. Kernan of RPK Editorial Services, permis-

sions researcher Kristiina Paul, and everyone else at Cengage Learning

who aided the development of this edition.

Vinay K. Ingle

John G. Proakis

Boston, Massachusetts

CHAPTER 1

Introduction

During the past several decades the ﬁeld of digital signal processing (DSP)

has grown to be important, both theoretically and technologically. A ma-

jor reason for its success in industry is the development and use of low-cost

software and hardware. New technologies and applications in various ﬁelds

are now taking advantage of DSP algorithms. This will lead to a greater

demand for electrical and computer engineers with background in DSP.

Therefore, it is necessary to make DSP an integral part of any electrical

engineering curriculum.

Two decades ago an introductory course on DSP was given mainly at

the graduate level. It was supplemented by computer exercises on ﬁlter

design, spectrum estimation, and related topics using mainframe (or mini)

computers. However, considerable advances in personal computers and

software during the past two decades have made it necessary to introduce

a DSP course to undergraduates. Since DSP applications are primarily

algorithms that are implemented either on a DSP processor [11] or in

software, a fair amount of programming is required. Using interactive

software, such as MATLAB, it is now possible to place more emphasis

on learning new and diﬃcult concepts than on programming algorithms.

Interesting practical examples can be discussed, and useful problems can

be explored.

With this philosophy in mind, we have developed this book as a com-

panion book (to traditional textbooks like [18, 23]) in which MATLAB is

an integral part in the discussion of topics and concepts. We have chosen

MATLAB as the programming tool primarily because of its wide avail-

ability on computing platforms in many universities across the world.

Furthermore, a low-cost student version of MATLAB has been available

for several years, placing it among the least exp ensive software products

剩余670页未读，继续阅读

MartinOU～

粉丝: 0

MATLAB第三版：数字信号处理实战指南

Digital-signal-processing of MATLAB

Digital Signal Processing with Matlab

Digital Signal Processing Using Matlab

Digital Signal Processing Using MATLAB 3rd

Digital Signal Processing using MatLab 1

Digital Signal Processing Using Matlab V4

Digital Signal Processing Using MATLAB 3rd Edition

Digital Signal Processing Using MATLAB，3E

Introduction to Digital Signal Processing Using MATLAB

Fundamentals of Digital Signal Processing using MATLAB

最新资源