Adaptive filtering [Book] : algorithms and practical implementation / Paulo Sergio Ramirez Diniz.

By:

Diniz, Paulo Sergio Ramirez, 1956-

Material type: Text

TextPublication details: New Delhi : Springe India pvt ltd, c2008.Edition: Third editionDescription: xxiv, 627 pages : illustrations ; 24 cmISBN:

9788132206729
9780387312743

Subject(s):

DDC classification:

621.3822 21

Other classification:

621.3822

Summary: This book presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner, using clear notations that facilitate actual implementation. Important algorithms are described in detailed tables which allow the reader to verify learned concepts. The book covers the family of LMS and algorithms as well as set-membership, sub-band, blind, IIR adaptive filtering, and more. The book is also supported by a web page maintained by the author.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	Junaid Zaidi Library, COMSATS University Islamabad Ground Floor	621.3822 DIN-A (Browse shelf(Opens below))	Available		44375
Books	Junaid Zaidi Library, COMSATS University Islamabad Ground Floor	621.3822 DIN-A 59927 (Browse shelf(Opens below))	Available		10001000059927

Total holds: 0

Browsing Junaid Zaidi Library, COMSATS University Islamabad shelves, Shelving location: Ground Floor Close shelf browser (Hides shelf browser)

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Previous	621.3822 DIG Digital signal processing using MATLAB	621.3822 DIN-A Adaptive filtering algorithms and practical implementation /	621.3822 DIN-A Adaptive filtering algorithms and practical implementation /	621.3822 DIN-A 59927 Adaptive filtering algorithms and practical implementation /	621.3822 DIN-D Digital signal processing system analysis and design /	621.3822 DIN-D Digital signal processing system analysis and design /	621.3822 DUT-A Applied signal processing a matlab-based proof of concept /	Next

Includes index.

This book presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner, using clear notations that facilitate actual implementation. Important algorithms are described in detailed tables which allow the reader to verify learned concepts. The book covers the family of LMS and algorithms as well as set-membership, sub-band, blind, IIR adaptive filtering, and more. The book is also supported by a web page maintained by the author.

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