Isbn: 9783030290566 - adaptive filtering: algorithms and practical implementation (9 risultati)

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  • Lingua: Inglese

    Editore: Springer, 2019

    3030290565 / 9783030290566

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  • Lingua: Inglese

    Editore: Springer, 2019

    3030290565 / 9783030290566

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    Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

  • Lingua: Inglese

    Editore: Springer, 2019

    3030290565 / 9783030290566

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    Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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  • Lingua: Inglese

    Editore: Springer, 2019

    3030290565 / 9783030290566

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    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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  • Lingua: Inglese

    Editore: Springer International Publishing Dez 2019, 2019

    3030290565 / 9783030290566

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    EUR 128,39

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 516 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer International Publishing, 2019

    3030290565 / 9783030290566

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    Da: moluna, Greven, Germaniamoluna

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    EUR 107,09

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fully revised and expanded textbook, now in its 5th edition, on adaptive signal processing adaptive filteringFeatures problems, references, exercises, applications, and MATLAB code so readers can test algorithmsIncludes a new .

  • Lingua: Inglese

    Editore: Springer, 2019

    3030290565 / 9783030290566

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    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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  • Lingua: Inglese

    Editore: Springer, Springer Dez 2019, 2019

    3030290565 / 9783030290566

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    EUR 128,39

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 516 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, 2019

    3030290565 / 9783030290566

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    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    EUR 189,02

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