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Wavelets, Approximation, and Statistical Applications (Lecture Notes in Statistics) - Couverture souple
Synopsis
The mathematical theory of wavelets was developed by Yes Meyer and many collaborators about ten years ago. It was designed for approximation of possibly irregular functions and surfaces and was successfully applied in data compression, turbulence analysis, and image and signal processing. Five years ago wavelet theory progressively appeared to be a powerful framework for nonparametric statistical problems. Efficient computation implementations are beginning to surface in the nineties. This book brings toghether these three streams of wavelet theory and introduces the novice in this field to these aspects. Readers interested in the theory and construction of wavelets will find in a condensed form results that are scattered in the research literature. A practitioner will be able to use wavelets via the available software code.
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The mathematical theory of wavelets was developed by Yes Meyer and many collaborators about ten years ago. It was designed for approximation of possibly irregular functions and surfaces and was successfully applied in data compression, turbulence analysis, and image and signal processing. Five years ago wavelet theory progressively appeared to be a powerful framework for nonparametric statistical problems. Efficient computation implementations are beginning to surface in the nineties. This book brings toghether these three streams of wavelet theory and introduces the novice in this field to these aspects. Readers interested in the theory and construction of wavelets will find in a condensed form results that are scattered in the research literature. A practitioner will be able to use wavelets via the available software code.
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Wavelets, Approximation, and Statistical Applications (Lecture Notes in Statistics, 129)
Edité par
Springer, 1998
ISBN 10 : 0387984534
ISBN 13 : 9780387984537
Ancien ou d'occasion
Couverture souple
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Etat : Fine. *Price HAS BEEN REDUCED by 10% until Monday, Oct. 27 (SALE ITEM)* 283 pp., paperback, near fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. N° de réf. du vendeur ZB1333917
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Wavelets, Approximation, and Statistical Applications (Lecture Notes in Statistics)
Edité par
Springer-Verlag, Berlin - Heidelberg - New York, 1998
ISBN 10 : 0387984534
ISBN 13 : 9780387984537
Ancien ou d'occasion
Paperback
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Paperback. Etat : Very Good. Just a touch of edgewear, and some fading at spine. No. "1039" written at top edge, inside front cover. Otherwise, very clean and sound, appears unread. Part of series Lecture Notes in Statistics, No. 129. 265 pgs. N° de réf. du vendeur red1aWAVE
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Wavelets, Approximation, and Statistical Applications (Lecture Notes in Statistics, 129)
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Wavelets, Approximation, and Statistical Applications (Lecture Notes in Statistics, 129)
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Wavelets, Approximation, and Statistical Applications
Edité par
Springer New York Apr 1998, 1998
ISBN 10 : 0387984534
ISBN 13 : 9780387984537
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The mathematical theory of ondelettes (wavelets) was developed by Yves Meyer and many collaborators about 10 years ago. It was designed for ap proximation of possibly irregular functions and surfaces and was successfully applied in data compression, turbulence analysis, image and signal process ing. Five years ago wavelet theory progressively appeared to be a power ful framework for nonparametric statistical problems. Efficient computa tional implementations are beginning to surface in this second lustrum of the nineties. This book brings together these three main streams of wavelet theory. It presents the theory, discusses approximations and gives a variety of statistical applications. It is the aim of this text to introduce the novice in this field into the various aspects of wavelets. Wavelets require a highly interactive computing interface. We present therefore all applications with software code from an interactive statistical computing environment. Readers interested in theory and construction of wavelets will find here in a condensed form results that are somewhat scattered around in the research literature. A practioner will be able to use wavelets via the available software code. We hope therefore to address both theory and practice with this book and thus help to construct bridges between the different groups of scientists. This te. xt grew out of a French-German cooperation (Seminaire Paris Berlin, Seminar Berlin-Paris). This seminar brings together theoretical and applied statisticians from Berlin and Paris. This work originates in the first of these seminars organized in Garchy, Burgundy in 1994. 288 pp. Englisch. N° de réf. du vendeur 9780387984537
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Wavelets, Approximation, and Statistical Applications
Edité par
Springer New York, 1998
ISBN 10 : 0387984534
ISBN 13 : 9780387984537
Neuf
Couverture souple
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Wavelets, Approximation, and Statistical Applications
Edité par
Springer-Verlag New York Inc., 1998
ISBN 10 : 0387984534
ISBN 13 : 9780387984537
Neuf
Paperback / softback
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Wavelets, Approximation, and Statistical Applications
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Wavelets, Approximation, and Statistical Applications
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Etat : New. Print on Demand pp. 288 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. N° de réf. du vendeur 5022433
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Wavelets, Approximation, and Statistical Applications
Edité par
Springer New York, Springer US Apr 1998, 1998
ISBN 10 : 0387984534
ISBN 13 : 9780387984537
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The mathematical theory of ondelettes (wavelets) was developed by Yves Meyer and many collaborators about 10 years ago. It was designed for ap proximation of possibly irregular functions and surfaces and was successfully applied in data compression, turbulence analysis, image and signal process ing. Five years ago wavelet theory progressively appeared to be a power ful framework for nonparametric statistical problems. Efficient computa tional implementations are beginning to surface in this second lustrum of the nineties. This book brings together these three main streams of wavelet theory. It presents the theory, discusses approximations and gives a variety of statistical applications. It is the aim of this text to introduce the novice in this field into the various aspects of wavelets. Wavelets require a highly interactive computing interface. We present therefore all applications with software code from an interactive statistical computing environment. Readers interested in theory and construction of wavelets will find here in a condensed form results that are somewhat scattered around in the research literature. A practioner will be able to use wavelets via the available software code. We hope therefore to address both theory and practice with this book and thus help to construct bridges between the different groups of scientists. This te. xt grew out of a French-German cooperation (Seminaire Paris Berlin, Seminar Berlin-Paris). This seminar brings together theoretical and applied statisticians from Berlin and Paris. This work originates in the first of these seminars organized in Garchy, Burgundy in 1994.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 288 pp. Englisch. N° de réf. du vendeur 9780387984537
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