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Digital Signal Processing with Examples in MATLAB (Electrical Engineering & Applied Signal Processing Series)

Digital Signal Processing with Examples in MATLAB (Electrical Engineering & Applied Signal Processing Series)

Digital Signal Processing with Examples in MATLAB (Electrical Engineering &
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Digital Signal Processing with Examples in MATLAB (Electrical Engineering & Applied Signal Processing Series) Hardback - 2011

by Stearns, Samuel D

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CRC Press, 2011-04-04. 2. hardcover. Used: Good. 6.18x1.18x9.41. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Digital Signal Processing with Examples in MATLAB (Electrical Engineering & Applied Signal Processing Series)
  • Author Stearns, Samuel D
  • Binding Hardback
  • Edition 2
  • Condition Used: Good
  • Pages 510
  • Volumes 1
  • Language ENG
  • Publisher CRC Press, New Delhi
  • Publication date 2011-04-04
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # SONG1439837821
  • ISBN 9781439837825 / 1439837821
  • Weight 1.95 lbs (0.88 kg)
  • Dimensions 9.4 x 6.2 x 1.2 in (23.88 x 15.75 x 3.05 cm)
  • Size 6.18x1.18x9.41
  • Category Technology & Industrial Arts
  • Library of Congress subjects Signal processing - Digital techniques -, TECHNOLOGY & ENGINEERING / Electrical
  • Library of Congress Catalogue Number 2010042257
  • Dewey Decimal Code 621.382
  • Quantity available 1

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From the publisher

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(R), 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.

Media reviews

Citations

  • Reference and Research Bk News, 08/01/2011, Page 281

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.

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