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Reproducing kernel Hilbert spaces: Applications in statistical signal processing (Benchmark papers in electrical engineering and computer science)
Language: English
Published by Hutchinson Ross Pub Co, 1982
ISBN 10: 0879334347 ISBN 13: 9780879334345
Hardcover. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
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Condition: As New. Unread book in perfect condition.
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Fast Compact Algorithms and Software for Spline Smoothing
Book 46 of 322: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer-Verlag New York Inc., US, 2012
ISBN 10: 1461454956 ISBN 13: 9781461454953
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 2013 ed.
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Condition: Sehr gut. Howard Lyon (illustrator). 3. 544 S. Wir versenden ausschließlich mit Sendungsverfolgung! BITTE BEACHTEN: Unbenutztes Mängelexemplar mit leichten Lagerspuren kleine Kratzer etwas angestoßen, vollständig und ansonsten in einwandfreiem Zustand, als Mängelexemplar gekennzeichnet. Rechnung gerne auf Anfrage. Preise inkl. Mehrwertsteuer Sprache: Deutsch Gewicht in Gramm: 650 Gebundene Ausgabe, Maße: 13.8 cm x 4.6 cm x 22 cm.
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Fast Compact Algorithms and Software for Spline Smoothing (SpringerBriefs in Computer Science)
Book 46 of 322: SpringerBriefs in Computer ScienceSeller: Ria Christie Collections, Uxbridge, United Kingdom
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Fast Compact Algorithms and Software for Spline Smoothing
Book 46 of 322: SpringerBriefs in Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
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Weit über der smaragdgrünen See: Roman Das erste von vier Secret Projects von Bestsellerautor Brandon Sanderson Feelgood-Fantasy
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Hardback. Condition: New. Howard Lyon (illustrator). 2.
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Fast Compact Algorithms and Software for Spline Smoothing
Book 46 of 322: SpringerBriefs in Computer ScienceSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Fast Compact Algorithms and Software for Spline Smoothing
Book 46 of 322: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer-Verlag New York Inc, 2012
ISBN 10: 1461454956 ISBN 13: 9781461454953
Paperback. Condition: Brand New. 45 pages. 9.00x6.00x0.15 inches. In Stock.
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Reproducing kernel Hilbert spaces: Applications in statistical signal processing (Benchmark papers in electrical engineering and computer science)
Language: English
Published by Hutchinson Ross, U.S.A., 1982
ISBN 10: 0879334347 ISBN 13: 9780879334345
First Edition
Hardcover. Condition: Near Fine. 1st Edition. A beautifully clean, crisp, hardcover copy in near fine condition. No DJ, as issued. NOTE: Oversize volume; no priority or overseas Amazon orders.
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Reproducing kernel Hilbert spaces: Applications in statistical signal processing (Benchmark papers in electrical engineering and computer science)
Language: English
Published by Hutchinson Ross Pub Co, 1982
ISBN 10: 0879334347 ISBN 13: 9780879334345
Condition: New. Satisfaction Guaranteed or your money back.
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Reproducing Kernel Hilbert Spaces _ Applications in Statistical Signal Processing
Language: English
Published by Hutchinson Ross Publishing Company, Stroudsburg, Pennsylvania, 1982
ISBN 10: 0879334347 ISBN 13: 9780879334345
Hardcover. Condition: Good. Cloth/no dust jacket Small Quarto. yellow cloth, blue lettering, no dust jacket, 654 pp red ink markings on the top and bottom edges covers lightly worn on the edges Standard shipping (no tracking or insurance) / Priority (with tracking) / Custom quote for large or heavy orders.
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Fast Compact Algorithms and Software for Spline Smoothing
Book 46 of 322: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer New York, Springer US Okt 2012, 2012
ISBN 10: 1461454956 ISBN 13: 9781461454953
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Neuware -Fast Compact Algorithms and Software for Spline Smoothing investigates algorithmic alternatives for computing cubic smoothing splines when the amount of smoothing is determined automatically by minimizing the generalized cross-validation score. These algorithms are based on Cholesky factorization, QR factorization, or the fast Fourier transform. All algorithms are implemented in MATLAB and are compared based on speed, memory use, and accuracy. An overall best algorithm is identified, which allows very large data sets to be processed quickly on a personal computer.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 56 pp. Englisch.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Fast Compact Algorithms and Software for Spline Smoothing investigates algorithmic alternatives for computing cubic smoothing splines when the amount of smoothing is determined automatically by minimizing the generalized cross-validation score. These algorithms are based on Cholesky factorization, QR factorization, or the fast Fourier transform. All algorithms are implemented in MATLAB and are compared based on speed, memory use, and accuracy. An overall best algorithm is identified, which allows very large data sets to be processed quickly on a personal computer.
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Fast Compact Algorithms and Software for Spline Smoothing
Book 46 of 322: SpringerBriefs in Computer ScienceLanguage: English
Published by Springer-Verlag New York Inc., US, 2012
ISBN 10: 1461454956 ISBN 13: 9781461454953
Paperback. Condition: New. 2013 ed.
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Taschenbuch. Condition: Neu. Fast Compact Algorithms and Software for Spline Smoothing | Howard L. Weinert | Taschenbuch | viii | Englisch | 2012 | Springer | EAN 9781461454953 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Fixed Interval Smoothing for State Space Models (The Springer International Series in Engineering and Computer Science, 609)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 94.30
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Fixed Interval Smoothing for State Space Models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New.
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Fast Compact Algorithms and Software for Spline Smoothing
Book 46 of 322: SpringerBriefs in Computer Science£ 27.72 10% off£ 24.95
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Seiten: 56 | Sprache: Englisch | Produktart: Bücher | Fast Compact Algorithms and Software for Spline Smoothing investigates algorithmic alternatives for computing cubic smoothing splines when the amount of smoothing is determined automatically by minimizing the generalized cross-validation score. These algorithms are based on Cholesky factorization, QR factorization, or the fast Fourier transform. All algorithms are implemented in MATLAB and are compared based on speed, memory use, and accuracy. An overall best algorithm is identified, which allows very large data sets to be processed quickly on a personal computer.
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Gebunden. Condition: New. Fixed-interval smoothing is a method of extracting useful information from inaccurate data. It has been applied to problems in engineering, the physical sciences, and the social sciences, in areas such as control, communications, signal processing, acous.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Fixed-interval smoothing is a method of extracting useful information from inaccurate data. It has been applied to problems in engineering, the physical sciences, and the social sciences, in areas such as control, communications, signal processing, acoustics, geophysics, oceanography, statistics, econometrics, and structural analysis. This monograph addresses problems for which a linear stochastic state space model is available, in which case the objective is to compute the linear least-squares estimate of the state vector in a fixed interval, using observations previously collected in that interval. The author uses a geometric approach based on the method of complementary models. Using the simplest possible notation, he presents straightforward derivations of the four types of fixed-interval smoothing algorithms, and compares the algorithms in terms of efficiency and applicability. Results show that the best algorithm has received the least attention in the literature. Fixed Interval Smoothing for State Space Models: includes new material on interpolation, fast square root implementations, and boundary value models; is the first book devoted to smoothing; contains an annotated bibliography of smoothing literature; uses simple notation and clear derivations; compares algorithms from a computational perspective; identifies a best algorithm. Fixed Interval Smoothing for State Space Models will be the primary source for those wanting to understand and apply fixed-interval smoothing: academics, researchers, and graduate students in control, communications, signal processing, statistics and econometrics.
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Fixed Interval Smoothing for State Space Models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 145.99
£ 15 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Condition: As New. Unread book in perfect condition.
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Fixed Interval Smoothing for State Space Models
Language: English
Published by Springer Us Feb 2001, 2001
ISBN 10: 0792372999 ISBN 13: 9780792372998
Buch. Condition: Neu. Neuware - Fixed-interval smoothing is a method of extracting useful information from inaccurate data. It has been applied to problems in engineering, the physical sciences, and the social sciences, in areas such as control, communications, signal processing, acoustics, geophysics, oceanography, statistics, econometrics, and structural analysis. This monograph addresses problems for which a linear stochastic state space model is available, in which case the objective is to compute the linear least-squares estimate of the state vector in a fixed interval, using observations previously collected in that interval. The author uses a geometric approach based on the method of complementary models. Using the simplest possible notation, he presents straightforward derivations of the four types of fixed-interval smoothing algorithms, and compares the algorithms in terms of efficiency and applicability. Results show that the best algorithm has received the least attention in the literature. Fixed Interval Smoothing for State Space Models: includes new material on interpolation, fast square root implementations, and boundary value models; is the first book devoted to smoothing; contains an annotated bibliography of smoothing literature; uses simple notation and clear derivations; compares algorithms from a computational perspective; identifies a best algorithm. Fixed Interval Smoothing for State Space Models will be the primary source for those wanting to understand and apply fixed-interval smoothing: academics, researchers, and graduate students in control, communications, signal processing, statistics and econometrics.
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Fixed Interval Smoothing for State Space Models (The Springer International Series in Engineering and Computer Science)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 93.19
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