TY  - BOOK
AU  - Haykin,Simon S.
TI  - New directions in statistical signal processing: from systems to brain 
SN  - 0262083485 (alk. paper)
U1  - 612.82 21
PY  - 2007///
CY  - Cambridge, Mass.
PB  - MIT Press
KW  - Neural networks (Neurobiology)
KW  - Neural networks (Computer science)
KW  - Signal processing
KW  - Statistical methods
KW  - Neural computers
N1  - 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.]
ER  -