Digital Signal Processing with Matlab / Edition 2

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Overview

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).
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Editorial Reviews

Booknews
The primary use of this textbook is as a supplement in junior- or senior-level undergraduate courses on DSP, and assumes familiarity with the fundamentals of MATLAB. Ingle and Proakis (Northeastern University) round out the text with application projects in adaptive filtering and communications. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780495073116
  • Publisher: CL-Engineering
  • Publication date: 8/10/2006
  • Series: BookWare Companion Ser
  • Edition description: 2ND
  • Edition number: 2
  • Pages: 624
  • Product dimensions: 7.30 (w) x 9.20 (h) x 1.10 (d)

Meet 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).

John 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 including Digital Communications (2008, 5th ed.), Introduction to Digital Signal Processing (2007, 4th ed.); Digital Signal Processing Laboratory (1991); Advanced Digital Signal Processing (1992); Digital Processing of Speech Signals (2000); Communication Systems Engineering, (2002, 2nd ed.); Digital Signal Processing Using MATLAB V.4 (2010, 3rd ed.); Contemporary Communication Systems Using MATLAB (2004, 2nd ed.); Algorithms for Statistical Signal Processing (2002); Fundamentals of Communication Systems (2005).

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Table of Contents

1 Introduction 1
2 Discrete-time signals and systems 7
3 The discrete-time Fourier analysis 40
4 The z-transform 80
5 The discrete Fourier transform 118
6 Digital filter structures 186
7 FIR filter design 231
8 IIR filter design 313
9 Finite world-length effects 386
10 Sampling rate conversion 483
11 Applications in adaptive filtering 546
12 Applications in communications 559
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