| 000 | 02379nam a22003858i 4500 | ||
|---|---|---|---|
| 001 | CR9781107415805 | ||
| 005 | 20250919142043.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 130723s2014||||enk o ||1 0|eng|d | ||
| 020 | _a9781107415805 (ebook) | ||
| 020 | _z9781107058545 (hardback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
| 050 | 0 | 0 |
_aQA274.23 _b.U57 2014 |
| 082 | 0 | 0 |
_a519.2/3 _223 |
| 100 | 1 |
_aUnser, Michael A., _eauthor. |
|
| 245 | 1 | 3 |
_aAn introduction to sparse stochastic processes / _cMichael Unser and Pouya Tafti, École polytechnique fédérale, Lausanne. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2014. |
|
| 300 |
_a1 online resource (xviii, 367 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). | ||
| 520 | _aProviding a novel approach to sparsity, this comprehensive book presents the theory of stochastic processes that are ruled by linear stochastic differential equations, and that admit a parsimonious representation in a matched wavelet-like basis. Two key themes are the statistical property of infinite divisibility, which leads to two distinct types of behaviour - Gaussian and sparse - and the structural link between linear stochastic processes and spline functions, which is exploited to simplify the mathematical analysis. The core of the book is devoted to investigating sparse processes, including a complete description of their transform-domain statistics. The final part develops practical signal-processing algorithms that are based on these models, with special emphasis on biomedical image reconstruction. This is an ideal reference for graduate students and researchers with an interest in signal/image processing, compressed sensing, approximation theory, machine learning, or statistics. | ||
| 650 | 0 | _aStochastic differential equations. | |
| 650 | 0 | _aRandom fields. | |
| 650 | 0 | _aGaussian processes. | |
| 700 | 1 |
_aTafti, Pouya, _eauthor. |
|
| 776 | 0 | 8 |
_iPrint version: _z9781107058545 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9781107415805 |
| 907 |
_a.b1684516x _b2020-12-22 _c2020-12-22 |
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| 942 | _n0 | ||
| 998 |
_a1 _b2020-12-22 _cm _da _feng _genk _y0 _z.b1684516x |
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| 999 |
_c651859 _d651859 |
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