New directions in statistical signal processing : from systems to brain /
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 elabo...
Clasificación: | Libro Electrónico |
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Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Cambridge, Mass. :
MIT Press,
©2007.
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Colección: | Neural information processing series.
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Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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 [and others]
- 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 [and others].