Adaptive Filtering Algorithms and Practical Implementation
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Auteur:
Paulo S. R. Diniz
Diniz
- Engels
- Paperback
- 9783030290597
- 11 januari 2021
- 495 pagina's
Samenvatting
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.
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 algorithmsfor practicing engineers.
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 algorithmsfor practicing engineers.
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Inhoud
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- Bindwijze
- Paperback
- Oorspronkelijke releasedatum
- 11 januari 2021
- Aantal pagina's
- 495
- Illustraties
- Nee
Betrokkenen
- Hoofdauteur
- Paulo S. R. Diniz
- Tweede Auteur
- Diniz
- Hoofdredacteur
- Paulo S. R. Diniz
- Hoofduitgeverij
- Springer Nature Switzerland AG
Vertaling
- Originele titel
- Adaptive Filtering: Algorithms and Practical Implementation
Overige kenmerken
- Editie
- 5
- Product breedte
- 210 mm
- Product lengte
- 279 mm
- Studieboek
- Nee
- Verpakking breedte
- 210 mm
- Verpakking hoogte
- 279 mm
- Verpakking lengte
- 279 mm
- Verpakkingsgewicht
- 1259 g
EAN
- EAN
- 9783030290597
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