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| 001 | 978-981-10-2540-2 | ||
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| 008 | 161123s2017 si | s |||| 0|eng d | ||
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_a10.1007/978-981-10-2540-2 _2doi |
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_a621.382 _223 |
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_aGiron-Sierra, Jose Maria. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _960828 |
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| 245 | 1 | 0 |
_aDigital Signal Processing with Matlab Examples, Volume 3 _h[electronic resource] : _bModel-Based Actions and Sparse Representation / _cby Jose Maria Giron-Sierra. |
| 250 | _a1st ed. 2017. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2017. |
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| 300 |
_aXVI, 431 p. 201 illus., 80 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 490 | 1 |
_aSignals and Communication Technology, _x1860-4870 |
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| 505 | 0 | _aPart 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. | |
| 520 | _aThis 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. | ||
| 650 | 0 |
_aSignal processing. _94052 |
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| 650 | 1 | 4 |
_aSignal, Speech and Image Processing . _931566 |
| 710 | 2 |
_aSpringerLink (Online service) _960829 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811025396 |
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_iPrinted edition: _z9789811025419 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789811096440 |
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_aSignals and Communication Technology, _x1860-4870 _960830 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-10-2540-2 |
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