New directions in statistical signal processing : (Record no. 72934)

000 -LEADER
fixed length control field 03720nam a2200637 i 4500
001 - CONTROL NUMBER
control field 6267276
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220712204617.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151223s2006 maua ob 001 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9780262256315
-- ebook
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- electronic
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
-- print
082 04 - CLASSIFICATION NUMBER
Call Number 612.8/2
245 00 - TITLE STATEMENT
Title New directions in statistical signal processing :
Sub Title from systems to brain /
300 ## - PHYSICAL DESCRIPTION
Number of Pages 1 PDF (vi, 514 pages) :
490 1# - SERIES STATEMENT
Series statement Neural information processing series
500 ## - GENERAL NOTE
Remark 1 "Multi-User"
500 ## - GENERAL NOTE
Remark 1 Academic Complete Subscription 2011-2012
520 ## - SUMMARY, ETC.
Summary, etc 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).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Statistical methods.
700 1# - AUTHOR 2
Author 2 Haykin, Simon S.,
856 42 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267276
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cambridge, Massachusetts :
-- MIT Press,
-- c2007.
264 #2 -
-- [Piscataqay, New Jersey] :
-- IEEE Xplore,
-- [2006]
336 ## -
-- text
-- rdacontent
337 ## -
-- electronic
-- isbdmedia
338 ## -
-- online resource
-- rdacarrier
588 ## -
-- Description based on PDF viewed 12/23/2015.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Neural networks (Neurobiology)
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Neural networks (Computer science)
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal processing
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Neural computers.
650 12 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Neural Networks (Computer)
650 22 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Algorithms.
650 22 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Nerve Net.
650 22 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Statistics as Topic.

No items available.