| 000 | 02866nam a22003974a 4500 | ||
|---|---|---|---|
| 001 | ebr10173712 | ||
| 003 | CaPaEBR | ||
| 006 | m u | ||
| 007 | cr cn||||||||| | ||
| 008 | 051101s2007 maua sb 001 0 eng | ||
| 010 | _z 2005056210 | ||
| 015 |
_aGBA671791 _2bnb |
||
| 016 | 7 |
_z013536699 _2Uk |
|
| 020 | _z0262083485 (alk. paper) | ||
| 020 | _z9780262083485 (alk. paper) | ||
| 040 |
_aCaPaEBR _cCaPaEBR |
||
| 035 | _a(OCoLC)77521428 | ||
| 050 | 1 | 4 |
_aQP363.3 _b.N52 2007eb |
| 082 | 0 | 4 |
_a612.8/2 _222 |
| 245 | 0 | 0 |
_aNew directions in statistical signal processing _h[electronic resource] : _bfrom systems to brain / _cedited by Simon Haykin ... [et al.]. |
| 260 |
_aCambridge, Mass. : _bMIT Press, _cc2007. |
||
| 300 |
_avi, 514 p. : _bill. |
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| 490 | 1 | _aNeural information processing series | |
| 504 | _aIncludes bibliographical references (p. [465]-508) and index. | ||
| 505 | 0 | 0 |
_tModeling the mind : from circuits to systems / _rSuzanna Becker -- _tEmpirical statistics and stochastic models for visual signals / _rDavid Mumford -- _gThe _tmachine cocktail party problem / _rSimon Haykin, Zhe Chen -- _tSensor adaptive signal processing of biological nanotubes (ion channels) at macroscopic and nano scales / _rVikram Krishnamurthy -- _tSpin diffusion : a new perspective in magnetic resonance imaging / _rTimothy R. Field -- _tWhat makes a dynamical system computationally powerful? / _rRobert Legenstein, Wolfgang Maass -- _gA _tvariational principle for graphical models / _rMartin J. Wainwright, Michael I. Jordan -- _tModeling large dynamical systems with dynamical consistent neural networks / _rHans-Georg Zimmermann ... [et al.] -- _tDiversity in communication : from source coding to wireless networks / _rSuhas N. Diggavi -- _tDesigning patterns for easy recognition : information transmission with low-density parity-check codes / _rFrank R. Kschischang, Masoud Ardakani -- _tTurbo processing / _rClaude Berrou, Charlotte Langlais, Fabrice Seguin -- _tBlind signal processing based on data geometric properties / _rKonstantinos Diamantaras -- _tGame-theoretic learning / _rGeoffrey J. Gordon -- _tLearning observable operator models via the efficient sharpening algorithm / _rHerbert Jaeger ... [et al.]. |
| 533 |
_aElectronic reproduction. _bPalo Alto, Calif. : _cebrary, _d2013. _nAvailable via World Wide Web. _nAccess may be limited to ebrary affiliated libraries. |
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| 650 | 0 | _aNeural networks (Neurobiology) | |
| 650 | 0 | _aNeural networks (Computer science) | |
| 650 | 0 |
_aSignal processing _xStatistical methods. |
|
| 650 | 0 | _aNeural computers. | |
| 655 | 7 |
_aElectronic books. _2local |
|
| 700 | 1 |
_aHaykin, Simon S., _d1931- |
|
| 710 | 2 | _aebrary, Inc. | |
| 830 | 0 | _aNeural information processing series. | |
| 856 | 4 | 0 |
_uhttp://site.ebrary.com/lib/rucke/Doc?id=10173712 _zAn electronic book accessible through the World Wide Web; click to view |
| 999 |
_c138071 _d138071 |
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