9780470447536 - kernel adaptive filtering: a comprehensive introduction: 1 di liu, weifeng; principe, jose c.; haykin, simon (17 risultati)
Lingua: Inglese
Editore: Wiley 2010
Serie: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, Libro 28 di 33. Libro 28 di 33 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
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Lingua: Inglese
Editore: Wiley 2010
Serie: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, Libro 28 di 33. Libro 28 di 33 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
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Da: California Books, Miami, FL, U.S.A.California Books
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Lingua: Inglese
Editore: Wiley 2010
Serie: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, Libro 28 di 33. Libro 28 di 33 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
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Condizione: New. In.
Lingua: Inglese
Editore: Wiley 2010
Serie: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, Libro 28 di 33. Libro 28 di 33 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: New.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US 2010
Serie: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, Libro 28 di 33. Libro 28 di 33 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
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Hardback. Condizione: New. Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to present a co…mprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces. Based on research being conducted in the Computational Neuro-Engineering Laboratory at the University of Florida and in the Cognitive Systems Laboratory at McMaster University, Ontario, Canada, this unique resource elevates the adaptive filtering theory to a new level, presenting a new design methodology of nonlinear adaptive filters. Covers the kernel least mean squares algorithm, kernel affine projection algorithms, the kernel recursive least squares algorithm, the theory of Gaussian process regression, and the extended kernel recursive least squares algorithm Presents a powerful model-selection method called maximum marginal likelihood Addresses the principal bottleneck of kernel adaptive filters-their growing structure Features twelve computer-oriented experiments to reinforce the concepts, with MATLAB codes downloadable from the authors' Web site Concludes each chapter with a summary of the state of the art and potential future directions for original research Kernel Adaptive Filtering is ideal for engineers, computer scientists, and graduate students interested in nonlinear adaptive systems for online applications (applications where the data stream arrives one sample at a time and incremental optimal solutions are desirable). It is also a useful guide for those who look for nonlinear adaptive filtering methodologies to solve practical problems.
Lingua: Inglese
Editore: Wiley 2010
Serie: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, Libro 28 di 33. Libro 28 di 33 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
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- Prima edizione
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 150,93
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Condizione: New. * On-line learning is a fundamental tool in adaptive signalprocessing * Presents on-line learning from a signal processingperspective. Series: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control. Num Pages: 240 pages, Illustrations. BIC Classification: TJK; UYS. Catego…ry: (P) Professional & Vocational. Dimension: 239 x 153 x 17. Weight in Grams: 460. . 2010. 1st Edition. hardcover. . . . .
Lingua: Inglese
Editore: Wiley 2010
Serie: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, Libro 28 di 33. Libro 28 di 33 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condizione: New. * On-line learning is a fundamental tool in adaptive signalprocessing * Presents on-line learning from a signal processingperspective. Series: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control. Num Pages: 240 pages, Illustrations. BIC Classification: TJK; UYS. Catego…ry: (P) Professional & Vocational. Dimension: 239 x 153 x 17. Weight in Grams: 460. . 2010. 1st Edition. hardcover. . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: John Wiley & Sons Inc 2010
Serie: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, Libro 28 di 33. Libro 28 di 33 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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EUR 170,28
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Hardcover. Condizione: Brand New. 209 pages. 9.25x6.25x0.75 inches. In Stock.
Lingua: Inglese
Editore: John Wiley and Sons Inc, US 2010
Serie: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, Libro 28 di 33. Libro 28 di 33 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
- Rilegato
Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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Hardback. Condizione: New. Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to present a co…mprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces. Based on research being conducted in the Computational Neuro-Engineering Laboratory at the University of Florida and in the Cognitive Systems Laboratory at McMaster University, Ontario, Canada, this unique resource elevates the adaptive filtering theory to a new level, presenting a new design methodology of nonlinear adaptive filters. Covers the kernel least mean squares algorithm, kernel affine projection algorithms, the kernel recursive least squares algorithm, the theory of Gaussian process regression, and the extended kernel recursive least squares algorithm Presents a powerful model-selection method called maximum marginal likelihood Addresses the principal bottleneck of kernel adaptive filters-their growing structure Features twelve computer-oriented experiments to reinforce the concepts, with MATLAB codes downloadable from the authors' Web site Concludes each chapter with a summary of the state of the art and potential future directions for original research Kernel Adaptive Filtering is ideal for engineers, computer scientists, and graduate students interested in nonlinear adaptive systems for online applications (applications where the data stream arrives one sample at a time and incremental optimal solutions are desirable). It is also a useful guide for those who look for nonlinear adaptive filtering methodologies to solve practical problems.
Lingua: Inglese
Editore: Wiley Mär 2010 2010
Serie: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, Libro 28 di 33. Libro 28 di 33 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
- Rilegato
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Neuware - Online learning from a signal processing perspectiveThere is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to present… a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces. Based on research being conducted in the Computational Neuro-Engineering Laboratory at the University of Florida and in the Cognitive Systems Laboratory at McMaster University, Ontario, Canada, this unique resource elevates the adaptive filtering theory to a new level, presenting a new design methodology of nonlinear adaptive filters.\* Covers the kernel least mean squares algorithm, kernel affine projection algorithms, the kernel recursive least squares algorithm, the theory of Gaussian process regression, and the extended kernel recursive least squares algorithm\* Presents a powerful model-selection method called maximum marginal likelihood\* Addresses the principal bottleneck of kernel adaptive filters--their growing structure\* Features twelve computer-oriented experiments to reinforce the concepts, with MATLAB codes downloadable from the authors' Web site\* Concludes each chapter with a summary of the state of the art and potential future directions for original researchKernel Adaptive Filtering is ideal for engineers, computer scientists, and graduate students interested in nonlinear adaptive systems for online applications (applications where the data stream arrives one sample at a time and incremental optimal solutions are desirable). It is also a useful guide for those who look for nonlinear adaptive filtering methodologies to solve practical problems.
Lingua: Inglese
Editore: Wiley 2010
Serie: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, Libro 28 di 33. Libro 28 di 33 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: As New. Unread book in perfect condition.
Lingua: Inglese
Editore: Wiley 2010
Serie: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, Libro 28 di 33. Libro 28 di 33 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
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Hardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Wiley 2010
Serie: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, Libro 28 di 33. Libro 28 di 33 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
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Editore: John Wiley & Sons 2010
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Gebunden. Condizione: New.
Lingua: Inglese
Editore: Wiley 2010
Serie: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, Libro 28 di 33. Libro 28 di 33 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
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HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: John Wiley & Sons Inc 2010
Serie: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, Libro 28 di 33. Libro 28 di 33 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
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Hardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: John Wiley & Sons Inc, New York 2010
Serie: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control, Libro 28 di 33. Libro 28 di 33 - Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
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Hardcover. Condizione: new. Hardcover. Online learning from a signal processing perspective There is increased interest in kernel learning algorithms in neural networks and a growing need for nonlinear adaptive algorithms in advanced signal processing, communications, and controls. Kernel Adaptive Filtering is the first book to…present a comprehensive, unifying introduction to online learning algorithms in reproducing kernel Hilbert spaces. Based on research being conducted in the Computational Neuro-Engineering Laboratory at the University of Florida and in the Cognitive Systems Laboratory at McMaster University, Ontario, Canada, this unique resource elevates the adaptive filtering theory to a new level, presenting a new design methodology of nonlinear adaptive filters. Covers the kernel least mean squares algorithm, kernel affine projection algorithms, the kernel recursive least squares algorithm, the theory of Gaussian process regression, and the extended kernel recursive least squares algorithm Presents a powerful model-selection method called maximum marginal likelihood Addresses the principal bottleneck of kernel adaptive filterstheir growing structure Features twelve computer-oriented experiments to reinforce the concepts, with MATLAB codes downloadable from the authors' Web site Concludes each chapter with a summary of the state of the art and potential future directions for original research Kernel Adaptive Filtering is ideal for engineers, computer scientists, and graduate students interested in nonlinear adaptive systems for online applications (applications where the data stream arrives one sample at a time and incremental optimal solutions are desirable). It is also a useful guide for those who look for nonlinear adaptive filtering methodologies to solve practical problems. * On-line learning is a fundamental tool in adaptive signalprocessing * Presents on-line learning from a signal processingperspective. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
