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

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Bibliographic Details
Superior document:Neural information processing series
:
TeilnehmendeR:
Year of Publication:2007
Language:English
Series:Neural information processing series.
Online Access:
Physical Description:vi, 514 p. :; ill.
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Description
Other title: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 /
Bibliography:Includes bibliographical references (p. [465]-508) and index.
ISBN:0262083485 (alk. paper)
9780262083485 (alk. paper)
Hierarchical level:Monograph
Statement of Responsibility: edited by Simon Haykin ... [et al.].