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000411973 001__ 411973
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000411973 010__ $$z  2005056210
000411973 015__ $$aGBA671791$$2bnb
000411973 0167_ $$z013536699$$2Uk
000411973 020__ $$z0262083485 (alk. paper)
000411973 020__ $$z9780262083485 (alk. paper)
000411973 035__ $$a(CaPaEBR)ebr10173712
000411973 035__ $$a(OCoLC)609208517
000411973 040__ $$aCaPaEBR$$cCaPaEBR
000411973 05014 $$aQP363.3$$b.N52 2007eb
000411973 08204 $$a612.8/2$$222
000411973 24500 $$aNew directions in statistical signal processing$$h[electronic resource] :$$bfrom systems to brain /$$cedited by Simon Haykin ... [et al.].
000411973 260__ $$aCambridge, Mass. :$$bMIT Press,$$cc2007.
000411973 300__ $$avi, 514 p. :$$bill. ;$$c26 cm.
000411973 4901_ $$aNeural information processing series
000411973 504__ $$aIncludes bibliographical references (p. [465]-508) and index.
000411973 50500 $$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 /$$rHerbert Jaeger ... [et al.].
000411973 506__ $$aAccess limited to authorized users.
000411973 650_0 $$aNeural networks (Neurobiology)
000411973 650_0 $$aNeural networks (Computer science)
000411973 650_0 $$aSignal processing$$xStatistical methods.
000411973 650_0 $$aNeural computers.
000411973 655_7 $$aElectronic books.$$2lcsh
000411973 7001_ $$aHaykin, Simon S.,$$d1931-
000411973 830_0 $$aNeural information processing series.
000411973 852__ $$bebk
000411973 85640 $$3ProQuest Ebook Central Academic Complete$$uhttps://univsouthin.idm.oclc.org/login?url=http://site.ebrary.com/lib/usiricelib/Doc?id=10173712$$zOnline Access
000411973 909CO $$ooai:library.usi.edu:411973$$pGLOBAL_SET
000411973 980__ $$aEBOOK
000411973 980__ $$aBIB
000411973 982__ $$aEbook
000411973 983__ $$aOnline