000 | 02631cam a22003614a 4500 | ||
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001 | 14162958 | ||
005 | 20140924163246.0 | ||
008 | 051101s2007 maua b 001 0 eng | ||
010 | _a 2005056210 | ||
015 |
_aGBA671791 _2bnb |
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016 | 7 |
_a013536699 _2Uk |
|
020 | _a9788120332409 | ||
035 | _a(OCoLC)ocm62302576 | ||
035 | _a(OCoLC)62302576 | ||
040 |
_aDLC _cDLC _dBAKER _dUKM _dC#P _dBTCTA _dYDXCP _dSDB _dCOO _dDLC |
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042 | _apcc | ||
050 | 0 | 0 |
_aQP363.3 _b.N52 2007 |
082 | 0 | 0 |
_a612.8 _222 _bSIM-N |
100 | _aHaykin, Simon S., | ||
245 | 0 | 0 |
_aNew directions in statistical signal processing : _bfrom systems to brain _cedited by Simon Haykin ... [et al.]. |
260 |
_aNew Delhi : _bPHI Learning, _cc2007. |
||
300 |
_avi, 514 p. : _bill. ; _c26 cm. |
||
440 | 0 | _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.]. |
650 | 0 | _aNeural networks (Neurobiology) | |
650 | 0 | _aNeural networks (Computer science) | |
650 | 0 |
_aSignal processing _xStatistical methods. |
|
650 | 0 | _aNeural computers. | |
906 |
_a7 _bcbc _corignew _d1 _eocip _f20 _gy-gencatlg |
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942 |
_2ddc _cBK |
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999 |
_c7357 _d7357 |