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Adaptive filtering algorithms and practical implementation

By: Diniz, Paulo Sergio Ramirez.
Material type: materialTypeLabelBookPublisher: Guildford : Springer, 2008Edition: 3rd ed.Description: xxiv, 627 p.ISBN: 9788132206729.Subject(s): Algorithms | Engineering Computer engineeringSpringerLink ebooks - Engineering (2008)Summary: Annotation This book presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner. The main classes adaptive filtering algorithms are presented in a unifed framework using clear notations that facilitate actual implementation. The main algorithms are described in tables which are detailed enough to allow the reader to verify the learned concepts. Many examples address problems drawn from actual applications. This book covers the family of LMS and algorithms as well as set-membership, sub-band, blind, IIR adaptive filtering, and more. Several problems are included at the end of chapters and some of these problems address applications. A user-friendly MATLAB package is provided where the reader can easily solve new problems and test all of the algorithms in a fast manner. Additionally, the book provides easy access to working algorithms for practicing engineers. Provided for instructors is a set of master transparencies as well as a MATLAB Package including the MATLAB codes for all the algorithms described in the text. The author also has a webpage for the book.
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Annotation This book presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner. The main classes adaptive filtering algorithms are presented in a unifed framework using clear notations that facilitate actual implementation. The main algorithms are described in tables which are detailed enough to allow the reader to verify the learned concepts. Many examples address problems drawn from actual applications. This book covers the family of LMS and algorithms as well as set-membership, sub-band, blind, IIR adaptive filtering, and more. Several problems are included at the end of chapters and some of these problems address applications. A user-friendly MATLAB package is provided where the reader can easily solve new problems and test all of the algorithms in a fast manner. Additionally, the book provides easy access to working algorithms for practicing engineers. Provided for instructors is a set of master transparencies as well as a MATLAB Package including the MATLAB codes for all the algorithms described in the text. The author also has a webpage for the book.

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