New directions in statistical signal processing : from systems to brain / edited by Simon Haykin ... [et al.].
Contributor(s): Haykin, Simon S
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Material type: 
BookSeries: Neural information processing series. Publisher: Cambridge, Mass. : MIT Press, c2007Description: vi, 514 p. : ill. ; 24 cm.ISBN: 0262083485 (alk. paper); 9788120332409; 9780262083485 (alk. paper).Subject(s): Neural networks (Neurobiology) | Neural networks (Computer science) | Signal processing -- Statistical methods | Neural computersDDC classification: 612.82 | Item type | Current location | Call number | Copy number | Status | Date due | Barcode | Item holds |
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Books
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Central Library, KUET General Stacks | 612.82 NEW (Browse shelf) | 1 | Available | 3010043436 |
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.].
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