Digital signal processing with Matlab examples. Volume 3, Model-based actions and sparse representation / Jose Maria Giron-Sierra.
Giron-Sierra, Jose Maria, author.
2017
TK5102.9
Available Online

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Title Digital signal processing with Matlab examples. Volume 3, Model-based actions and sparse representation / Jose Maria Giron-Sierra.
Author Giron-Sierra, Jose Maria, author.
ISBN 9789811025402 (electronic book)
9811025401 (electronic book)
9789811025396
DOI https://doi.org/10.1007/978-981-10-2540-2
Published Singapore : Springer, [2017]
Language English
Description 1 online resource (xvi, 431 pages) : illustrations.
Other Standard Identifiers 10.1007/978-981-10-2540-2 doi
Call Number TK5102.9
Dewey Decimal Classification 621.382/2
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed December 14, 2016).
Series Signals and communication technology.
Available in Other Form Print version: 9789811025396
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Part VI- Model-based Actions: Filtering, Prediction, Smoothing
Kalman Filter, Particle Filter and other Bayesian Filters
Part VII Sparse Representation. Compressed Sensing
Sparse Representations
Appendices
Selected Topics of Mathematical Optimization
Long Programs.

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