Digital Signal Processing with Examples in MATLAB / Edition 2

by Samuel D. Stearns, Donald R. Hush

Overview

Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today’s powerful computing capabilities, they can be used in a wide range of application areas, including engineering, communications, geophysics, computer science, information technology, medicine, and biometrics.

Updated and expanded, Digital Signal Processing with Examples in MATLAB^®, Second Edition introduces the basic aspects of signal processing and presents the fundamentals of DSP. It also relates DSP to continuous signal processing, rather than treating it as an isolated operation.

New to the Second Edition

• Discussion of current DSP applications
• New chapters on analog systems models and pattern recognition using support vector machines
• New sections on the chirp z-transform, resampling, waveform reconstruction, discrete sine transform, and logarithmic and nonuniform sampling
• A more comprehensive table of transforms

Developing the fundamentals of DSP from the ground up, this bestselling text continues to provide readers with a solid foundation for further work in most areas of signal processing. For novices, the authors review the basic mathematics required to understand DSP systems and offer a brief introduction to MATLAB. They also include end-of-chapter exercises that not only provide examples of the topics discussed, but also introduce topics and applications not covered in the chapters.

Product Details

ISBN-13:	9781439837825
Publisher:	Taylor & Francis
Publication date:	04/04/2011
Series:	Electrical Engineering & Applied Signal Processing Series
Edition description:	New Edition
Pages:	510
Product dimensions:	6.20(w) x 9.30(h) x 1.10(d)

About the Author

Samuel D. Stearns is a professor emeritus at the University of New Mexico, where has been involved in adjunct teaching and research since 1960. An IEEE fellow, Dr. Stearns was also a distinguished member of the technical staff at Sandia National Laboratories for 27 years. His principal technical areas are DSP and adaptive signal processing.

Don R. Hush is a technical staff member at the Los Alamos National Laboratory. An IEEE senior member, Dr. Hush was previously a technical staff member at Sandia National Laboratories and a professor at the University of New Mexico. He was also an associate editor for IEEE Transactions on Neural Networks and IEEE Signal Processing Magazine.

Table of Contents

Introduction. Least Squares, Orthogonality, and the Fourier Series. Correlation, Fourier Spectra, and the Sampling Theorem. Linear Systems and Transfer Functions. Finite Impulse Response Filter Design. Infinite Impulse Response Filter Design. Random Signals and Spectral Estimation. Least-Squares System Design. Adaptive Signal Processing. Signal Information, Coding, and Compression. Models of Analog Systems. Pattern Recognition with Support Vector Machines. Appendix. Index.

Editorial Reviews

"This book will guide you through the mathematics and electrical engineering theory using real-world applications. It will also use MATLAB^®, a software tool that allows you to easily implement signal-processing techniques using the computer and to view the signals graphically. … The reader of this text is fortunate to be guided by two wonderful teachers who translate the issues and understanding of using signal processing in the real world to examples and applications that open the door to this fascinating subject."
—From the Foreword by Dr. Delores M. Etter, Texas Instruments Distinguished Chair in Engineering Education and director of the Caruth Institute for Engineering Education, Southern Methodist University, Dallas, Texas, USA

Praise for the First Edition
In a field as rapidly expanding as digital signal processing (DSP), even the basic topics change over time, both in nature and relative importance. It is important, therefore, to have an up-to-date text that not only covers the fundamentals but also follows a logical development that leaves no gaps that readers must somehow bridge by themselves. Digital Signal Processing with Examples in MATLAB is such a text.
—IEEE Signal Processing Magazine, Vol. 22, No. 4, July 2005

It is a pleasure to recommend this book to the serious student of digital signal processing. It is carefully written and illustrated by many useful examples and exercises, and the material is selected to cover the relevant topics in this rapidly developing field of knowledge.
—the late Professor Richard W. Hamming, Bell Laboratories

From the Publisher

Introduces the basic theory and applications of digital signal processing within the context of continuous signal processing, and provides short sample MATLAB programs. Written for senior level or graduate courses, the textbook reviews least-squares analysis and the Fourier series, then explains digital filters, statistical signal processing, least- squares system design, and adaptive signal processing systems. Annotation c. Book News, Inc., Portland, OR