New directions in statistical signal processing : from systems to brain / / edited by Simon Haykin ... [et al.].
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Superior document: | Neural information processing series |
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Year of Publication: | 2007 |
Language: | English |
Series: | Neural information processing series.
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Physical Description: | vi, 514 p. :; ill. |
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New directions in statistical signal processing [electronic resource] : from systems to brain / edited by Simon Haykin ... [et al.]. Cambridge, Mass. : MIT Press, c2007. vi, 514 p. : ill. Neural information processing series 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.]. Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. Neural networks (Neurobiology) Neural networks (Computer science) Signal processing Statistical methods. Neural computers. Electronic books. Haykin, Simon S., 1931- ProQuest (Firm) Neural information processing series. https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=3338650 Click to View |
language |
English |
format |
Electronic eBook |
author2 |
Haykin, Simon S., 1931- ProQuest (Firm) |
author_facet |
Haykin, Simon S., 1931- ProQuest (Firm) ProQuest (Firm) |
author2_variant |
s s h ss ssh |
author2_role |
TeilnehmendeR TeilnehmendeR |
author_corporate |
ProQuest (Firm) |
author_sort |
Haykin, Simon S., 1931- |
author_additional |
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.]. |
title |
New directions in statistical signal processing from systems to brain / |
spellingShingle |
New directions in statistical signal processing from systems to brain / Neural information processing series 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 / |
title_sub |
from systems to brain / |
title_full |
New directions in statistical signal processing [electronic resource] : from systems to brain / edited by Simon Haykin ... [et al.]. |
title_fullStr |
New directions in statistical signal processing [electronic resource] : from systems to brain / edited by Simon Haykin ... [et al.]. |
title_full_unstemmed |
New directions in statistical signal processing [electronic resource] : from systems to brain / edited by Simon Haykin ... [et al.]. |
title_auth |
New directions in statistical signal processing from systems to brain / |
title_alt |
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 / |
title_new |
New directions in statistical signal processing |
title_sort |
new directions in statistical signal processing from systems to brain / |
series |
Neural information processing series |
series2 |
Neural information processing series |
publisher |
MIT Press, |
publishDate |
2007 |
physical |
vi, 514 p. : ill. |
contents |
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 / |
callnumber-first |
Q - Science |
callnumber-subject |
QP - Physiology |
callnumber-label |
QP363 |
callnumber-sort |
QP 3363.3 N52 42007 |
genre |
Electronic books. |
genre_facet |
Electronic books. |
url |
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=3338650 |
illustrated |
Illustrated |
dewey-hundreds |
600 - Technology |
dewey-tens |
610 - Medicine & health |
dewey-ones |
612 - Human physiology |
dewey-full |
612.8/2 |
dewey-sort |
3612.8 12 |
dewey-raw |
612.8/2 |
dewey-search |
612.8/2 |
oclc_num |
77521428 |
work_keys_str_mv |
AT haykinsimons newdirectionsinstatisticalsignalprocessingfromsystemstobrain AT proquestfirm newdirectionsinstatisticalsignalprocessingfromsystemstobrain |
status_str |
n |
ids_txt_mv |
(MiAaPQ)5003338650 (Au-PeEL)EBL3338650 (CaPaEBR)ebr10173712 (OCoLC)77521428 |
hierarchy_parent_title |
Neural information processing series |
is_hierarchy_title |
New directions in statistical signal processing from systems to brain / |
container_title |
Neural information processing series |
author2_original_writing_str_mv |
noLinkedField noLinkedField |
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fullrecord |
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