New directions in statistical signal processing : from systems to brain [E-Book] / edited by Simon Haykin ... [et al.].
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Full text |
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Personal Name(s): | Haykin, Simon S. |
Imprint: |
Cambridge, Mass. :
MIT Press,
c2007
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Physical Description: |
vi, 514 pages : illustrations |
Note: |
englisch |
Series Title: |
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Neural information processing series
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Subject (LOC): |
- 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.].