New directions in statistical signal processing from systems to brain /
保存先:
| 団体著者: | |
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| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Cambridge, Mass. :
MIT Press,
c2007.
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| シリーズ: | Neural information processing series.
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| 主題: | |
| オンライン･アクセス: | An electronic book accessible through the World Wide Web; click to view |
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目次:
- 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.].