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New directions in statistical signal processing : from systems to brain / edited by Simon Haykin ... [et al.]. - Cambridge, Mass. : MIT Press, c2007. - vi, 514 p. : ill. ; 24 cm. - Neural information processing series .

Includes bibliographical references (p. [465]-508) and index.

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 / Suzanna Becker -- David Mumford -- Simon Haykin, Zhe Chen -- Vikram Krishnamurthy -- Timothy R. Field -- Robert Legenstein, Wolfgang Maass -- Martin J. Wainwright, Michael I. Jordan -- Hans-Georg Zimmermann ... [et al.] -- Suhas N. Diggavi -- Frank R. Kschischang, Masoud Ardakani -- Claude Berrou, Charlotte Langlais, Fabrice Seguin -- Konstantinos Diamantaras -- Geoffrey J. Gordon -- Herbert Jaeger ... [et al.]. The A

0262083485 (alk. paper) 9788120332409 9780262083485 (alk. paper)

2005056210


Neural networks (Neurobiology)
Neural networks (Computer science)
Signal processing--Statistical methods.
Neural computers.

612.82

Khulna University of Engineering & Technology

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