Synopses & Reviews
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 printing revises the scripts in the book, available functions, and m-files (available for downloading from the Brooks/Cole Bookware Companion Resource Series? Center Web site) to MATLAB? V5 (created with 5.3).
Description
Includes bibliographical references (p. 414) and index.
About the Author
Vinay K. Ingle is an Associate Professor of Electrical and Computer Engineering at Northeastern University. He received his Ph.D. in electrical and computer engineering from Rensselaer Polytechnic Institute in 1981. He has broad research experience and has taught courses on topics including signal and image processing, stochastic processes, and estimation theory. Professor Ingle is coauthor of the books: DSP Laboratory Using the ADSP-2181 Microprocessor (Prentice-Hall, 1991), Discrete Systems Laboratory (Brooks-Cole, 2000), and Statistical and Adaptive Signal proc-essing (Artech House, 2005).Dr. Proakis is an Adjunct Professor at the University of California at San Diego and a Professor Emeritus at Northeastern University. He was a faculty member at Northeastern University from 1969 through 1998 and held the following academic positions: Associate Professor of Electrical Engineering, 1969-1976; Professor of Electrical Engineering, 1976-1998; Associate Dean of the College of Engineering and Director of the Graduate School of Engineering, 1982-1984; Chairman of the Department of Electrical and Computer Engineering, 1984-1997. His professional experience and interests are in the general areas of digital communications and digital signal processing. He is the co-author of several books.
Table of Contents
PREFACE 1. INTRODUCTION Overview of DSP / A Few Words about MATLAB? 2. DISCRETE-TIME SIGNALS AND SYSTEMS Discrete-time Signals / Discrete Systems / Convolution / Difference Equations / Problems 3. THE DISCRETE-TIME FOURIER ANALYSIS The Discrete-time Fourier Transform (DTFT) / The Properties of the DTFT / The Frequency Domain Representation of LTI Systems / Sampling and Reconstruction of Analog Signals / Problems 4. THE Z-TRANSFORM The Bilateral z-Transform / Important Properties of the z-Transform / Inversion of the z-Transform / System Representation in the z-Domain / Solutions of the Difference Equations / Problems 5. THE DISCRETE FOURIER TRANSFORM The Discrete Fourier Series / Sampling and Reconstruction in the z-Domain / The Discrete Fourier Transform / Properties of the Discrete Fourier Transform / Linear Convolution Using the DFT / The Fast Fourier Transform / Problems 6. DIGITAL FILTER STRUCTURES Basic Elements / IIR Filter Structures / FIR Filter Structures / Lattice Filter Structures / Problems 7. FIR FILTER DESIGN Preliminaries / Properties of Linear-Phase FIR Filters / Window Design Techniques / Frequency Sampling Design Techniques / Optimal Equiripple Design Technique / Problems 8. IIR FILTER DESIGN Some Preliminaries / Characteristics of Prototype Analog Filters / Analog-to-Digital Filter Transformations / Lowpass Filter Design Using MATLAB? / Frequency-band Transformations / Comparison of FIR vs. IIR Filters / Problems 9. APPLICATIONS IN ADAPTIVE FILTERING LMS Algorithm for Coefficient Adjustment / System Identification or System Modeling / Suppression of Narrowband Interference in a Wideband Signal / Adaptive Line Enhancement / Adaptive Channel Equalization / Summary 10. APPLICATIONS IN COMMUNICATIONS Pulse-Code Modulation / Differential PCM (DPCM) / Adaptive PCM and DPCM (ADPCM) / Delta Modulation (DM) / Linear Predictive Coding (LPC) of Speech / Dual-tone Multifrequency (DTMF) Signals / Binary Digital Communications / Spread-Spectrum Communications / Summary / BIBLIOGRAPHY / INDEX