New Directions in Statistical Signal Processing: From Systems to Brain (Neural Information Processing Series) - Hardcover

Hardcover

ISBN 10: 0262083485 ISBN 13: 9780262083485

Publisher: Mit Pr, 2006

Synopsis

Leading researchers in signal processing and neural computation present work aimed at promoting the interaction and cross-fertilization between the two fields.

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 elaborate hierachical levels of neural computation performed side by side in the brain. In New Directions in Statistical Signal Processing, leading researchers from both signal processing and neural computation present new work that aims to promote interaction between the two disciplines.The book's 14 chapters, almost evenly divided between signal processing and neural computation, begin with the brain and move on to communication, signal processing, and learning systems. They examine such topics as how computational models help us understand the brain's information processing, how an intelligent machine could solve the "cocktail party problem" with "active audition" in a noisy environment, graphical and network structure modeling approaches, uncertainty in network communications, the geometric approach to blind signal processing, game-theoretic learning algorithms, and observable operator models (OOMs) as an alternative to hidden Markov models (HMMs).

About this title

About the Author

Simon Haykin is University Professor and Director of the Adaptive Systems Laboratory at McMaster University.

Edition details

• Publisher: Mit Pr
• Publication date: 2006
• Language: English
• ISBN 10: 0262083485
• ISBN 13: 9780262083485
• Binding: Hardcover
• Number of pages: 514
• Editor: Haykin Simon S., Principe Jose C., Sejnowksi Terrence J., McWhirter John