Adaptive Filtering: Algorithms and Practical Implementation, 5th Edition


Adaptive Filtering: Algorithms and Practical Implementation, 5th Edition
By 作者: Paulo S. R. Diniz
Pages 页数: 513 pages
Edition 版本: 5
Language 语言: English
Publisher Finelybook 出版社: Springer
Publication Date 出版日期: 2019-12-24
ISBN-10 书号:3030290565
ISBN-13 书号:9783030290566
The Book Description robot was collected from Amazon and arranged by Finelybook
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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