New directions in statistical signal processing: from systems to brain
Saved in:
| Format: | Book |
|---|---|
| Language: | English |
| Published: |
Cambridge, Mass.
MIT Press
2007
|
| Series: | Neural information processing series
|
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | Includes bibliographical references (p. [465]-508) and index |
| Physical Description: | VI, 514 S. ill. 26 cm |
| ISBN: | 0262083485 |
Staff View
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| adam_text | Contents
Series Foreword vii
Preface ix
1 Modeling the Mind: From Circuits to Systems 1
Suzanna Decker
2 Empirical Statistics and Stochastic Models for Visual Signals 23
David Mumford
3 The Machine Cocktail Party Problem 51
Simon Haykin and Zhe, Chan
4 Sensor Adaptive Signal Processing of Biological Nanotubes
(Ion Channels) at Macroscopic and Nano Scales 77
Vikram Krishnamurthy
5 Spin Diffusion: A New Perspective in Magnetic Resonance
Imaging 119
Timothy R. Field
6 What Makes a Dynamical System Computationally Powerful? 127
Robert Legenstein and Wolfgang Maass
7 A Variational Principle for Graphical Models 155
Martin J. Wainwright and Michael I. Jordan
8 Modeling Large Dynamical Systems with Dynamical
Consistent Neural Networks 203
Hans Ge.org Zimmermarm. Ralph Grothmann. Anton Maximilian
Schdfer. and Christoph Tie.t.z
9 Diversity in Communication: From Source Coding to
Wireless Networks 243
Suhas N. Diggari
Contents
10 Designing Patterns for Easy Recognition: Information
Transmission with Low Density Parity Check Codes 287
Frank R. Kschischang and Masoud Ardakani
11 Turbo Processing 307
Claude Berrou, Charlotte Langlais, and Fabrice Seguin
12 Blind Signal Processing Based on Data Geometric Properties 337
Konstantinos Diamantaras
13 Game Theoretic Learning 379
Geoffrey J. Gordon
14 Learning Observable Operator Models via the Efficient
Sharpening Algorithm 417
Herbert Jaeger, Mingjie Zhao, Klaus Kretzschmar, Tobias Oberstein,
Dan Popovici, and Andreas Rolling
References 465
Contributors 509
Index 513
|
| adam_txt |
Contents
Series Foreword vii
Preface ix
1 Modeling the Mind: From Circuits to Systems 1
Suzanna Decker
2 Empirical Statistics and Stochastic Models for Visual Signals 23
David Mumford
3 The Machine Cocktail Party Problem 51
Simon Haykin and Zhe, Chan
4 Sensor Adaptive Signal Processing of Biological Nanotubes
(Ion Channels) at Macroscopic and Nano Scales 77
Vikram Krishnamurthy
5 Spin Diffusion: A New Perspective in Magnetic Resonance
Imaging 119
Timothy R. Field
6 What Makes a Dynamical System Computationally Powerful? 127
Robert Legenstein and Wolfgang Maass
7 A Variational Principle for Graphical Models 155
Martin J. Wainwright and Michael I. Jordan
8 Modeling Large Dynamical Systems with Dynamical
Consistent Neural Networks 203
Hans Ge.org Zimmermarm. Ralph Grothmann. Anton Maximilian
Schdfer. and Christoph Tie.t.z
9 Diversity in Communication: From Source Coding to
Wireless Networks 243
Suhas N. Diggari
Contents
10 Designing Patterns for Easy Recognition: Information
Transmission with Low Density Parity Check Codes 287
Frank R. Kschischang and Masoud Ardakani
11 Turbo Processing 307
Claude Berrou, Charlotte Langlais, and Fabrice Seguin
12 Blind Signal Processing Based on Data Geometric Properties 337
Konstantinos Diamantaras
13 Game Theoretic Learning 379
Geoffrey J. Gordon
14 Learning Observable Operator Models via the Efficient
Sharpening Algorithm 417
Herbert Jaeger, Mingjie Zhao, Klaus Kretzschmar, Tobias Oberstein,
Dan Popovici, and Andreas Rolling
References 465
Contributors 509
Index 513 |
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| isbn | 0262083485 |
| language | English |
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| physical | VI, 514 S. ill. 26 cm |
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| series2 | Neural information processing series |
| spelling | New directions in statistical signal processing from systems to brain ed. by Simon Haykin ... Cambridge, Mass. MIT Press 2007 VI, 514 S. ill. 26 cm txt rdacontent n rdamedia nc rdacarrier Neural information processing series Includes bibliographical references (p. [465]-508) and index Neural networks (Neurobiology) Neural networks (Computer science) Signal processing Statistical methods Neural computers Haykin, Simon S. 1931- Sonstige (DE-588)128698497 oth HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016258975&sequence=000006&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | New directions in statistical signal processing from systems to brain Neural networks (Neurobiology) Neural networks (Computer science) Signal processing Statistical methods Neural computers |
| title | New directions in statistical signal processing from systems to brain |
| title_auth | New directions in statistical signal processing from systems to brain |
| title_exact_search | New directions in statistical signal processing from systems to brain |
| title_exact_search_txtP | New directions in statistical signal processing from systems to brain |
| title_full | New directions in statistical signal processing from systems to brain ed. by Simon Haykin ... |
| title_fullStr | New directions in statistical signal processing from systems to brain ed. by Simon Haykin ... |
| title_full_unstemmed | New directions in statistical signal processing from systems to brain ed. by Simon Haykin ... |
| title_short | New directions in statistical signal processing |
| title_sort | new directions in statistical signal processing from systems to brain |
| title_sub | from systems to brain |
| topic | Neural networks (Neurobiology) Neural networks (Computer science) Signal processing Statistical methods Neural computers |
| topic_facet | Neural networks (Neurobiology) Neural networks (Computer science) Signal processing Statistical methods Neural computers |
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