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£69.11

Springer Adaptive Filtering: Algorithms and Practical Implementation

Name: Adaptive Filtering: Algorithms and Practical Implementation
Brand: Springer
Price: 88.64 GBP
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Computer Science

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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.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 3030290565
Category: Books > Subjects > Computing & Internet > Computer Science
Domain: Amazon UK
Release Date: 24 December 2019
Listed Since: 11 July 2019

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Springer Adaptive Filtering: Algorithms and Practical Implementation

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