New directions in statistical signal processing : from systems to brain [E-Book] / edited by Simon Haykin ... [et al.].
Haykin, Simon S.
Cambridge, Mass. : MIT Press, c2007
vi, 514 pages : illustrations
englisch
Neural information processing series
Neural networks (Neurobiology)
Neural networks (Computer science)
Signal processing
Neural computers.
Statistical methods.
Full Text
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.].