Signals and Communication Technology

Digital Signal Processing with Matlab Examples, Volume 3

Model-Based Actions and Sparse Representation

Authors: Giron-Sierra, Jose Maria

  • Offers a wealth of MATLAB programs for individual exploration
  • Treats the theory succinctly and with a focus on practical applications
  • Covers advanced filtering techniques and compressed sensing
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eBook $89.00
price for USA (gross)
valid through November 5, 2017
  • ISBN 978-981-10-2540-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.00
price for USA
valid through November 5, 2017
  • ISBN 978-981-10-2539-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this Textbook

This is the third volume in a trilogy on modern Signal Processing. The three books provide a concise exposition of signal processing topics, and a guide to support individual practical exploration based on MATLAB programs.

This book includes MATLAB codes to illustrate each of the main steps of the theory, offering a self-contained guide suitable for independent study. The code is embedded in the text, helping readers to put into practice the ideas and methods discussed.

The book primarily focuses on filter banks, wavelets, and images. While the Fourier transform is adequate for periodic signals, wavelets are more suitable for other cases, such as short-duration signals: bursts, spikes, tweets, lung sounds, etc. Both Fourier and wavelet transforms decompose signals into components. Further, both are also invertible, so the original signals can be recovered from their components. Compressed sensing has emerged as a promising idea. One of the intended applications is networked devices or sensors, which are now becoming a reality; accordingly, this topic is also addressed. A selection of experiments that demonstrate image denoising applications are also included. In the interest of reader-friendliness, the longer programs have been grouped in an appendix; further, a second appendix on optimization has been added to supplement the content of the last chapter.

About the authors

Prof. Jose M. Giron-Sierra was born in Valladolid, Spain. He receive his Ph.D. in Physics in 1978, Universidad Complutense de Madrid, Spain. Prof. Giron-Sierra wrote more than 160 publications in various international journals. He is IEEE, AIAA, and Eurosim member and belongs to two IFAC Technical Committees.

Table of contents (2 chapters)

  • Kalman Filter, Particle Filter and Other Bayesian Filters

    Giron-Sierra, Jose Maria

    Pages 3-148

  • Sparse Representations

    Giron-Sierra, Jose Maria

    Pages 151-261

Buy this book

eBook $89.00
price for USA (gross)
valid through November 5, 2017
  • ISBN 978-981-10-2540-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $119.00
price for USA
valid through November 5, 2017
  • ISBN 978-981-10-2539-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Digital Signal Processing with Matlab Examples, Volume 3
Book Subtitle
Model-Based Actions and Sparse Representation
Authors
Series Title
Signals and Communication Technology
Copyright
2017
Publisher
Springer Singapore
Copyright Holder
Springer Science+Business Media Singapore
eBook ISBN
978-981-10-2540-2
DOI
10.1007/978-981-10-2540-2
Hardcover ISBN
978-981-10-2539-6
Series ISSN
1860-4862
Edition Number
1
Number of Pages
XVI, 431
Number of Illustrations and Tables
121 b/w illustrations, 80 illustrations in colour
Topics