Digital signal processing with Matlab examples. Volume 3, Model-based actions and sparse representation /
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 t...
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Main Author: | |
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Format: | eBook |
Language: | English |
Published: |
Singapore :
Springer,
[2017]
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Series: | Signals and communication technology,
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Subjects: | |
ISBN: | 9789811025402 9789811025396 |
Physical Description: | 1 online resource (xvi, 431 pages) : illustrations (some color) |
LEADER | 04131cam a2200469Ii 4500 | ||
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100 | 1 | |a Giron-Sierra, Jose Maria, |e author. | |
245 | 1 | 0 | |a Digital signal processing with Matlab examples. |n Volume 3, |p Model-based actions and sparse representation / |c Jose Maria Giron-Sierra. |
246 | 3 | 0 | |a Model-based actions and sparse representation |
264 | 1 | |a Singapore : |b Springer, |c [2017] | |
300 | |a 1 online resource (xvi, 431 pages) : |b illustrations (some color) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a počítač |b c |2 rdamedia | ||
338 | |a online zdroj |b cr |2 rdacarrier | ||
490 | 1 | |a Signals and communication technology, |x 1860-4862 | |
504 | |a Includes bibliographical references and index. | ||
505 | 0 | |a 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. | |
506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
520 | |a 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. | ||
590 | |a SpringerLink |b Springer Complete eBooks | ||
630 | 0 | 0 | |a MATLAB. |
630 | 0 | 7 | |a MATLAB. |2 fast |0 (OCoLC)fst01365096 |
650 | 0 | |a Signal processing |x Digital techniques |x Data processing. | |
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655 | 9 | |a electronic books |2 eczenas | |
776 | 0 | 8 | |i Printed edition: |z 9789811025396 |
830 | 0 | |a Signals and communication technology, |x 1860-4862 | |
856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=https://link.springer.com/10.1007/978-981-10-2540-2 |y Plný text |
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