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Adaptive Filtering
- Algorithms and Practical Implementation
Engelsk Paperback

Adaptive Filtering

- Algorithms and Practical Implementation
Engelsk Paperback

637 kr
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Om denne bog

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 detaljer
Sprog:
Engelsk
Sider:
495
ISBN-13:
9783030290597
Indbinding:
Paperback
Udgave:
ISBN-10:
303029059X
Udg. Dato:
11 jan 2021
Længde:
0mm
Bredde:
210mm
Højde:
279mm
Forlag:
Springer Nature Switzerland AG
Oplagsdato:
11 jan 2021
Forfatter(e):
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