Text

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 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).OCLC-licensed vendor bibliographic record.

---

Availability

No copy data

Detail Information

Series Title

-

Call Number

-

Publisher

Cambridge, Mass. : : MIT Press,., 2007.

Collation

1 online resource (vi, 514 pages) :illustrations.

Language

English

ISBN/ISSN

9780262256315

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

NEURAL NETWORKS (COMPUTER SCIENCE)
Neural computers.
Neural networks (Neurobiology)
Signal processing

Specific Detail Info

-

Statement of Responsibility

edited by Simon Haykin [and others].

Other Information

Cataloger

Kholif Basri

Source

https://doi.org/10.7551/mitpress/4977.001.0001

Validator

Kholif Basri

Digital Object Identifier (DOI)

-

Journal Volume

-

Journal Issue

-

Subtitle

-

Parallel Title

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment