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© 2017

Digital Signal Processing with Matlab Examples, Volume 3

Model-Based Actions and Sparse Representation

Benefits

  • 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

Textbook

Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Model-Based Actions: Filtering, Prediction, Smoothing

    1. Front Matter
      Pages 1-1
    2. Jose Maria Giron-Sierra
      Pages 3-148
  3. Sparse Representation. Compressed Sensing

    1. Front Matter
      Pages 149-149
    2. Jose Maria Giron-Sierra
      Pages 151-261
  4. Back Matter
    Pages 263-431

About this book

Introduction

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.

Keywords

DSP textbook Signal processing textbook extended Kalman filter MATLAB Signal Processing Toolbox ARMA models Bayesian filtering Compressed Sensing

Authors and affiliations

  1. 1.Systems Engineering and Automatic ControlUniversidad Complutense de MadridMadridSpain

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.

Bibliographic information

  • Book Title Digital Signal Processing with Matlab Examples, Volume 3
  • Book Subtitle Model-Based Actions and Sparse Representation
  • Authors Jose Maria Giron-Sierra
  • Series Title Signals and Communication Technology
  • Series Abbreviated Title Signals, Communication Technology
  • DOI https://doi.org/10.1007/978-981-10-2540-2
  • Copyright Information Springer Science+Business Media Singapore 2017
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-981-10-2539-6
  • Softcover ISBN 978-981-10-9644-0
  • eBook ISBN 978-981-10-2540-2
  • Series ISSN 1860-4862
  • Series E-ISSN 1860-4870
  • Edition Number 1
  • Number of Pages XVI, 431
  • Number of Illustrations 121 b/w illustrations, 80 illustrations in colour
  • Topics Signal, Image and Speech Processing
  • Buy this book on publisher's site
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