Digital Signal Processing, Second Edition: Fundamentals and Applications

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9780124158931: Digital Signal Processing, Second Edition: Fundamentals and Applications

Digital Signal Processing, Second Edition enables electrical engineers and technicians in the fields of biomedical, computer, and electronics engineering to master the essential fundamentals of DSP principles and practice. Many instructive worked examples are used to illustrate the material, and the use of mathematics is minimized for easier grasp of concepts. As such, this title is also useful to undergraduates in electrical engineering, and as a reference for science students and practicing engineers.

The book goes beyond DSP theory, to show implementation of algorithms in hardware and software. Additional topics covered include adaptive filtering with noise reduction and echo cancellations, speech compression, signal sampling, digital filter realizations, filter design, multimedia applications, over-sampling, etc. More advanced topics are also covered, such as adaptive filters, speech compression such as PCM, u-law, ADPCM, and multi-rate DSP and over-sampling ADC.

New to this edition:

  • MATLAB projects dealing with practical applications added throughout the book
  • New chapter (chapter 13) covering sub-band coding and wavelet transforms, methods that have become popular in the DSP field
  • New applications included in many chapters, including applications of DFT to seismic signals, electrocardiography data, and vibration signals
  • All real-time C programs revised for the TMS320C6713 DSK
  • Covers DSP principles with emphasis on communications and control applications
  • Chapter objectives, worked examples, and end-of-chapter exercises aid the reader in grasping key concepts and solving related problems
  • Website with MATLAB programs for simulation and C programs for real-time DSP

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From the Back Cover:

Digital Signal Processing 2ndEdition

Bridging the gap between theory and application, this text covers all the main areas of modern DSP. Principles, applications, and hardware implementation issues are presented, and a wealth of worked examples and end of chapter exercises provide the opportunity for self-learning. Throughout the book emphasis is placed on applications to signal, image, and video processing, and real time implementation of DSP algorithms using DSP processors is highlighted.

New To This Edition:

  • New chapter (Chapter 13) covering subband coding and wavelet transforms
  • Additional MATLAB and C programming examples integrated throughout the book, particularly related to the TMS320C6713 DSK
  • New and revised examples and end-of-chapter exercises for personal practice, including applications of DFT to speech, multimedia, seismic signals, electrocardiography data, and vibration signals
  • New coverage of image compression using wavelet transform coding
  • Companion site with downloadable MATLAB code and real-time C programs available atbooksite.elsevier.com/9780124158931.
  • Over 400 illustrations visually demonstrate key concepts

Related Titles:

  • Chaparro, Luis.Signals and Systems using MATLAB(Academic Press, October 14, 2010). ISBN 978-0123747167. $99.95, 768 pages.
  • Mallat, Stane.A Wavelet Tour of Signal Processing: The Sparse Way, 3rdEdition (Academic Press, December 25, 2008). ISBN 978-0123743701. $103.00, 832 pages.
  • Semmlow, John. Signals and Systems for Bioengineers, 2ndEdition (Academic Press, October 6, 2011). ISBN 978-0123849823
  • Woods, John W.Multidimensional Signal, Image, and Video Processing and Coding, 2ndEdition (Academic Press, July 1, 2011). ISBN 978-0123814203. $99.95, 616 pages.

About the Author:

Li Tan is professor of Electrical Engineering at Purdue University Northwest. He received his Ph.D. degree in Electrical Engineering from the University of New Mexico, Albuquerque, in 1992. Dr. Tan has taught digital signal processing, control systems and communication systems for over 20 years. He has published more than 80 refereed technical articles in journals, conference papers and book chapters in the area of digital signal processing. He has co-authored 4 textbooks, and holds a US patent. Dr. Tan is a senior member of the IEEE.

Jean Jiang is an associate professor in the Department of Engineering Technology at Purdue University Northwest. She received her Ph.D. degree in Electrical Engineering from the University of New Mexico, Albuquerque, in 1992. Dr. Jiang has taught digital signal processing, control systems and communication systems for over 20 years. She has published refereed technical articles in journals, conference papers and book chapters in the area of digital signal processing, and co-authored 4 textbooks.

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