New directions in statistical signal processing from systems to brain /
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| 企业作者: | |
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| 格式: | 电子 电子书 |
| 语言: | 英语 |
| 出版: |
Cambridge, Mass. :
MIT Press,
c2007.
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| 丛编: | Neural information processing series.
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| 主题: | |
| 在线阅读: | An electronic book accessible through the World Wide Web; click to view |
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书本目录:
- 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.].