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Adaptive Filtering : Algorithms and Practical Implementation - Paulo S. R. Diniz

Adaptive Filtering

Algorithms and Practical Implementation

By: Paulo S. R. Diniz

eText | 28 November 2019 | Edition Number 5

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In the fifth edition of this textbook, author Paulo S.R. Diniz presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. He first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. Several chapters are expanded and a new chapter 'Kalman Filtering' is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. Problems are included at the end of chapters. A MATLAB package is provided so the reader can solve new problems and test algorithms. The book also offers easy access to working algorithms for practicing engineers.

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Other Editions and Formats

Paperback

Published: 26th September 2012

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Paperback

Published: 11th January 2021

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