| 刊年 | 2007 |
| G/SMD | リモートファイル |
| 形態 | 1 online resource (vi, 514 p.) : ill. |
| シリーズ名 | Neural information processing series
|
| 注記 | "Multi-User"
Academic Complete Subscription 2011-2012
Includes bibliographical references (p. [465]-508) and index
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Signal processing and neural computation have separately and significantly influenced many disciplines, but the cross-fertilization of the two fields has begun only recently. Research now shows that each has much to teach the other, as we see highly sophisticated kinds of signal processing and elaborate hierachical levels of neural computation performed side by side in the brain. In New Directions in Statistical Signal Processing, leading researchers from both signal processing and neural computation present new work that aims to promote interaction between the two disciplines.The book's 14 chapters, almost evenly divided between signal processing and neural computation, begin with the brain and move on to communication, signal processing, and learning systems. They examine such topics as how computational models help us understand the brain's information processing, how an intelligent machine could solve the "cocktail party problem" with "active audition" in a noisy environment, graphical and network structure modeling approaches, uncertainty in network communications, the geometric approach to blind signal processing, game-theoretic learning algorithms, and observable operator models (OOMs) as an alternative to hidden Markov models (HMMs)
Also available in print
Mode of access: World Wide Web
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Description based on PDF viewed 12/23/2015
URL:https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267276(Abstract with links to resource) |
| 出版国 | アメリカ合衆国 |
| 標題言語 | 英語 |
| 本文言語 | 英語 |
| 著者情報 | Haykin, Simon S.
|
| ISBN | 9780262256315(: electronic bk)
|
| 無効/取消ISBN | 9780262083485(: electronic bk)
|
| 件名 | LCSH:Neuralnetworks(Neurobiology)
LCSH:Neuralnetworks(Computerscience)
LCSH:Signalprocessing
LCSH:Neuralcomputers
MESH:NeuralNetworks(Computer)
MESH:Algorithms
MESH:NerveNet
MESH:StatisticsasTopic
|
| NCID | 6267276 |
| IDENT | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267276 |