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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| TeilnehmendeR: | |
| Year of Publication: | 2007 |
| Language: | English |
| Series: | Neural information processing series.
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| Online Access: | |
| Physical Description: | vi, 514 p. :; ill. |
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Table of Contents:
- 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.].