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New directions in statistical signal processing : from systems to brain
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New directions in statistical signal processing : from systems to brain

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Contents

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.].

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New directions in statistical signal processing : from systems to brain. ISBN 9780262083485. Published by MIT in 2007. Publication and catalogue information, links to buy online and reader comments.

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