New directions in statistical signal processing: from systems to brain
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Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Cambridge, Mass. MIT Press c2007
Schriftenreihe:Neural information processing series
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Online-Zugang:FAW01
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Beschreibung:Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002
Includes bibliographical references (p. [465]-508) and index
Modeling the mind : from circuits to systems - Suzanna Becker -- - Empirical statistics and stochastic models for visual signals - David Mumford -- - The machine cocktail party problem - Simon Haykin, Zhe Chen -- - Sensor adaptive signal processing of biological nanotubes (ion channels) at macroscopic and nano scales - Vikram Krishnamurthy -- - Spin diffusion : a new perspective in magnetic resonance imaging - Timothy R. Field -- - What makes a dynamical system computationally powerful? - Robert Legenstein, Wolfgang Maass -- - A variational principle for graphical models - Martin J. Wainwright, Michael I. Jordan -- - Modeling large dynamical systems with dynamical consistent neural networks - Hans-Georg Zimmermann ... [et al.] -- - Diversity in communication : from source coding to wireless networks - Suhas N. Diggavi -- - Designing patterns for easy recognition : information transmission with low-density parity-check codes - Frank R. Kschischang, Masoud Ardakani -- - Turbo processing - Claude Berrou, Charlotte Langlais, Fabrice Seguin -- - Blind signal processing based on data geometric properties - Konstantinos Diamantaras -- - Game-theoretic learning - Geoffrey J. Gordon -- - Learning observable operator models via the efficient sharpening algorithm - Herbert Jaeger ... [et al.]
Beschreibung:1 Online-Ressource (vi, 514 p.)
ISBN:0262083485
0262256312
9780262083485
9780262256315

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