New directions in statistical signal processing from systems to brain /

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Bibliographic Details
Corporate Author: ebrary, Inc
Other Authors: Haykin, Simon S., 1931-
Format: Electronic eBook
Language:English
Published: Cambridge, Mass. : MIT Press, c2007.
Series:Neural information processing series.
Subjects:
Online Access:An electronic book accessible through the World Wide Web; click to view
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Table of 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.].