02835nam a22003854a 4500001001200000003000800012006001900020007001500039008004100054010001700095015001900112016001800131020002800149020003100177040002100208035002000229050002500249082001600274245014000290260004300430300002300473490004100496504006600537505131100603533015201914650003502066650003902101650004402140650002202184655002902206700002902235710001702264830004202281856012602323ebr10173712CaPaEBRm u cr cn|||||||||051101s2007 maua sb 001 0 eng  z 2005056210 aGBA6717912bnb7 z0135366992Uk z0262083485 (alk. paper) z9780262083485 (alk. paper) aCaPaEBRcCaPaEBR a(OCoLC)7752142814aQP363.3b.N52 2007eb04a612.8/222200aNew directions in statistical signal processingh[electronic resource] :bfrom systems to brain /cedited by Simon Haykin ... [et al.]. aCambridge, Mass. :bMIT Press,cc2007. avi, 514 p. :bill.1 aNeural information processing series aIncludes bibliographical references (p. [465]-508) and index.00tModeling the mind : from circuits to systems /rSuzanna Becker --tEmpirical statistics and stochastic models for visual signals /rDavid Mumford --gThetmachine 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 --gAtvariational 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.]. aElectronic reproduction.bPalo Alto, Calif. :cebrary,d2013.nAvailable via World Wide Web.nAccess may be limited to ebrary affiliated libraries. 0aNeural networks (Neurobiology) 0aNeural networks (Computer science) 0aSignal processingxStatistical methods. 0aNeural computers. 7aElectronic books.2local1 aHaykin, Simon S.,d1931-2 aebrary, Inc. 0aNeural information processing series.40uhttp://site.ebrary.com/lib/rucke/Doc?id=10173712zAn electronic book accessible through the World Wide Web; click to view