New directions in statistical signal processing : from systems to brain / / edited by Simon Haykin ... [et al.].

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Superior document:Neural information processing series
:
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Year of Publication:2007
Language:English
Series:Neural information processing series.
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Physical Description:vi, 514 p. :; ill.
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(CaPaEBR)ebr10173712
(OCoLC)77521428
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spelling New directions in statistical signal processing [electronic resource] : from systems to brain / edited by Simon Haykin ... [et al.].
Cambridge, Mass. : MIT Press, c2007.
vi, 514 p. : ill.
Neural information processing series
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.].
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Neural networks (Neurobiology)
Neural networks (Computer science)
Signal processing Statistical methods.
Neural computers.
Electronic books.
Haykin, Simon S., 1931-
ProQuest (Firm)
Neural information processing series.
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=3338650 Click to View
language English
format Electronic
eBook
author2 Haykin, Simon S., 1931-
ProQuest (Firm)
author_facet Haykin, Simon S., 1931-
ProQuest (Firm)
ProQuest (Firm)
author2_variant s s h ss ssh
author2_role TeilnehmendeR
TeilnehmendeR
author_corporate ProQuest (Firm)
author_sort Haykin, Simon S., 1931-
author_additional Suzanna Becker --
David Mumford --
Simon Haykin, Zhe Chen --
Vikram Krishnamurthy --
Timothy R. Field --
Robert Legenstein, Wolfgang Maass --
Martin J. Wainwright, Michael I. Jordan --
Hans-Georg Zimmermann ... [et al.] --
Suhas N. Diggavi --
Frank R. Kschischang, Masoud Ardakani --
Claude Berrou, Charlotte Langlais, Fabrice Seguin --
Konstantinos Diamantaras --
Geoffrey J. Gordon --
Herbert Jaeger ... [et al.].
title New directions in statistical signal processing from systems to brain /
spellingShingle New directions in statistical signal processing from systems to brain /
Neural information processing series
Modeling the mind : from circuits to systems /
Empirical statistics and stochastic models for visual signals /
machine cocktail party problem /
Sensor adaptive signal processing of biological nanotubes (ion channels) at macroscopic and nano scales /
Spin diffusion : a new perspective in magnetic resonance imaging /
What makes a dynamical system computationally powerful? /
variational principle for graphical models /
Modeling large dynamical systems with dynamical consistent neural networks /
Diversity in communication : from source coding to wireless networks /
Designing patterns for easy recognition : information transmission with low-density parity-check codes /
Turbo processing /
Blind signal processing based on data geometric properties /
Game-theoretic learning /
Learning observable operator models via the efficient sharpening algorithm /
title_sub from systems to brain /
title_full New directions in statistical signal processing [electronic resource] : from systems to brain / edited by Simon Haykin ... [et al.].
title_fullStr New directions in statistical signal processing [electronic resource] : from systems to brain / edited by Simon Haykin ... [et al.].
title_full_unstemmed New directions in statistical signal processing [electronic resource] : from systems to brain / edited by Simon Haykin ... [et al.].
title_auth New directions in statistical signal processing from systems to brain /
title_alt Modeling the mind : from circuits to systems /
Empirical statistics and stochastic models for visual signals /
machine cocktail party problem /
Sensor adaptive signal processing of biological nanotubes (ion channels) at macroscopic and nano scales /
Spin diffusion : a new perspective in magnetic resonance imaging /
What makes a dynamical system computationally powerful? /
variational principle for graphical models /
Modeling large dynamical systems with dynamical consistent neural networks /
Diversity in communication : from source coding to wireless networks /
Designing patterns for easy recognition : information transmission with low-density parity-check codes /
Turbo processing /
Blind signal processing based on data geometric properties /
Game-theoretic learning /
Learning observable operator models via the efficient sharpening algorithm /
title_new New directions in statistical signal processing
title_sort new directions in statistical signal processing from systems to brain /
series Neural information processing series
series2 Neural information processing series
publisher MIT Press,
publishDate 2007
physical vi, 514 p. : ill.
contents Modeling the mind : from circuits to systems /
Empirical statistics and stochastic models for visual signals /
machine cocktail party problem /
Sensor adaptive signal processing of biological nanotubes (ion channels) at macroscopic and nano scales /
Spin diffusion : a new perspective in magnetic resonance imaging /
What makes a dynamical system computationally powerful? /
variational principle for graphical models /
Modeling large dynamical systems with dynamical consistent neural networks /
Diversity in communication : from source coding to wireless networks /
Designing patterns for easy recognition : information transmission with low-density parity-check codes /
Turbo processing /
Blind signal processing based on data geometric properties /
Game-theoretic learning /
Learning observable operator models via the efficient sharpening algorithm /
callnumber-first Q - Science
callnumber-subject QP - Physiology
callnumber-label QP363
callnumber-sort QP 3363.3 N52 42007
genre Electronic books.
genre_facet Electronic books.
url https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=3338650
illustrated Illustrated
dewey-hundreds 600 - Technology
dewey-tens 610 - Medicine & health
dewey-ones 612 - Human physiology
dewey-full 612.8/2
dewey-sort 3612.8 12
dewey-raw 612.8/2
dewey-search 612.8/2
oclc_num 77521428
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hierarchy_parent_title Neural information processing series
is_hierarchy_title New directions in statistical signal processing from systems to brain /
container_title Neural information processing series
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