Principles of adaptive filters and self-learning systems /

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Bibliographic Details
Author / Creator:	Zaknich, Anthony.
Imprint:	[London] : Springer London, 2005.
Description:	1 online resource (xxii, 386 p.) : ill.
Language:	English
Series:	Advanced textbooks in control and signal processing Advanced textbooks in control and signal processing.
Subject:	Adaptive filters -- Design and construction -- Mathematics. Artificial intelligence. Artificial intelligence.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/8875695

Hidden Bibliographic Details
ISBN:	1852339845 (pbk. : alk. paper) 9781852339845 (hard cover : alk. paper) 9781846281211 1846281210 6611328572 9786611328573
Notes:	Includes bibliographical references and index.
Summary:	"Professor Zaknich provides an ideal textbook for one-semester introductory graduate or senior undergraduate courses in adaptive and self-learning systems for signal processing applications. Important topics are introduced and discussed sufficiently to give the reader adequate background for confident further investigation. The material is presented in a progression from a short introduction to adaptive systems through modelling, classical filters and spectral analysis to adaptive control theory, nonclassical adaptive systems and applications."--Jacket.
Other form:	Print version: Zaknich, Anthony. Principles of adaptive filters and self-learning systems. [London] : Springer London, 2005 1852339845 9781852339845

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