| 000 | 03720nam a2200637 i 4500 | ||
|---|---|---|---|
| 001 | 6267276 | ||
| 003 | IEEE | ||
| 005 | 20220712204617.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 151223s2006 maua ob 001 eng d | ||
| 020 |
_a9780262256315 _qebook |
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| 020 |
_z0262256312 _qelectronic |
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| 020 |
_z9780262083485 _qprint |
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| 035 | _a(CaBNVSL)mat06267276 | ||
| 035 | _a(IDAMS)0b000064818b4262 | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aQP363.3 _b.N52 2007eb |
|
| 060 | 4 | _a2006 N-993 | |
| 060 | 4 |
_aWL 26.5 _bN532 2007 |
|
| 082 | 0 | 4 |
_a612.8/2 _222 |
| 245 | 0 | 0 |
_aNew directions in statistical signal processing : _bfrom systems to brain / _cedited by Simon Haykin ... [et al.]. |
| 264 | 1 |
_aCambridge, Massachusetts : _bMIT Press, _cc2007. |
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| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2006] |
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| 300 |
_a1 PDF (vi, 514 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 | _aNeural information processing series | |
| 500 | _a"Multi-User" | ||
| 500 | _aAcademic Complete Subscription 2011-2012 | ||
| 504 | _aIncludes bibliographical references (p. [465]-508) and index. | ||
| 506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
| 520 | _aSignal processing and neural computation have separately and significantly influenced many disciplines, but the cross-fertilization of the two fields has begun only recently. Research now shows that each has much to teach the other, as we see highly sophisticated kinds of signal processing and elaborate hierachical levels of neural computation performed side by side in the brain. In New Directions in Statistical Signal Processing, leading researchers from both signal processing and neural computation present new work that aims to promote interaction between the two disciplines.The book's 14 chapters, almost evenly divided between signal processing and neural computation, begin with the brain and move on to communication, signal processing, and learning systems. They examine such topics as how computational models help us understand the brain's information processing, how an intelligent machine could solve the "cocktail party problem" with "active audition" in a noisy environment, graphical and network structure modeling approaches, uncertainty in network communications, the geometric approach to blind signal processing, game-theoretic learning algorithms, and observable operator models (OOMs) as an alternative to hidden Markov models (HMMs). | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 540 | _aAccess requires VIU IP addresses and is restricted to VIU students, faculty and staff. | ||
| 550 | _aMade available online by Ebrary. | ||
| 588 | _aDescription based on PDF viewed 12/23/2015. | ||
| 650 | 0 |
_aNeural networks (Neurobiology) _93736 |
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| 650 | 0 |
_aNeural networks (Computer science) _93414 |
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| 650 | 0 |
_aSignal processing _xStatistical methods. _96186 |
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| 650 | 0 |
_aNeural computers. _94963 |
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| 650 | 1 | 2 |
_aNeural Networks (Computer) _921566 |
| 650 | 2 | 2 |
_aAlgorithms. _93390 |
| 650 | 2 | 2 |
_aNerve Net. _921886 |
| 650 | 2 | 2 |
_aStatistics as Topic. _921887 |
| 655 | 0 |
_aElectronic books. _93294 |
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| 700 | 1 |
_aHaykin, Simon S., _d1931- _921888 |
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| 710 | 2 |
_aIEEE Xplore (Online Service), _edistributor. _921889 |
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| 710 | 2 |
_aMIT Press, _epublisher. _921890 |
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| 776 | 0 | 8 |
_iPrint version _z9780262083485 |
| 830 | 0 |
_aNeural information processing series _921891 |
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| 856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267276 |
| 942 | _cEBK | ||
| 999 |
_c72934 _d72934 |
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