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Wavelets: the Key to Intermittent Information?
Edited by B. W. Silverman and J. C. Vassilicos
272 pages
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1 colour plate, numerous halftones and line figures
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234x156mm
978-0-19-850716-1
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Hardback
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15 June 2000
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This item is printed to order and supplied on a firm sale basis. Items which are printed to order are normally despatched and charged within 5-10 days.
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- * clear and comprehensiveintroduction to this burgeoning field
- * Covers both theory and applications.
- * Genuinely interdisciplinarity
In recent years there has been an explosion of interest in wavelets, in a wide range of fields in science and engineering and beyond. This book brings together contributions from researchers from disparate fields, both in order to demonstrate to a wide readership the current breadth of work in wavelets, and to encourage cross-fertilization of ideas. It demonstrates the genuinely interdisplinary nature of wavelet research and applications. Particular areas covered include turbulence, statistics, time series analysis, signal and image processing, the physiology of vision, astronomy, economics and acoustics. Some of the work uses standard wavelet approaches and in other cases new
methodology is developed. The papers were originally presented at a Royal Society Discussion Meeting, to a large and enthusiastic audience of specialists and non-specialists.Readership: Graduates and researchers in many fields of research, including mathematics, statistics, computer science, engineering, economics. This is a genuinely interdisciplinary area of research.
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Edited by B. W. Silverman, School of Mathematics, University of Bristol, and J. C. Vassilicos, Department of Applied Mathematics and Theoretical Physics, University of Cambridge Contributors:
INGRID DAUBECHIES; Program for Applied & Computational Mathematics, Princeton University, Fine Hall, Washington Road,; Princeton, N.J. 08544-1000, USA; IGOR GUSKOV; Program for Applied & Computational Mathematics, Princeton University, Fine Hall, Washington Road,; Princeton, N.J. 08544-1000, USA; PETER SCHRODER; Dept. of Computer Science, California Institute of Technology, Pasadena, CA 91125, USA; WIM SWELDENS; Lucent Technologies, Bell
Laboratories, 600 Mountain Avenue, Murray Hill, NJ 07974, USA; A.ARNEODO; Centre de Recherche Paul Pascal, Avenue Schweitzer, 33600, Pessac, France; S. MANNEVILLE; Laboratoire Ondes et Acoustique, ESPCI, 10 rue Vauquelin, 75005 Paris, France; J.F. MUZY; Centre de Recherche Paul Pascal, Avenue Schweitzer, 33600, Pessac, France; S.G.ROUX; NASA Goddard Space Flight Center, Climate & Radiation Branch (Code 913), Greenbelt, MD 20771, USA; F.NICOLLEAU; Dept. of Applied Maths & Theoretical Physics, University of Cambridge, Silver Street, Cambridge, CB3 9EW; J.C. VASSILICOS,; Dept. of Applied Maths & Theoretical Physics, University of Cambridge, Silver Street, Cambridge, CB3 9EW; BERNARD W. SILVERMAN; Dept of Mathematics, University of Bristol, University Walk, Bristol BS8 1TW; IAIN M. JOHNSTONE;
Dept of Statistics, Sequoia Hall, Stanford University, Stanford, CA 94305, USA; EMMANUEL J. CANDES; Dept of Statistics, Stanford University, Stanford, CA 94305-4065, USA; DAVID L. DONOHO; Dept of Statistics, Stanford University, Stanford, CA 94305-4065, USA; GUY P. NASON; Dept of Maths, University of Bristol, University Walk, Bristol BS8 1TW; RAINER VON SACHS; Institute of Statistics, Catholic University of Louvain, Louvain-la-Neuve, Belgium; D.J. FIELD; Uris Hall, Cornell University, Ithaca, NY 14853, USA; NICK KINGSBURY; Signal Processing Group, Dept of Engineering, University of Cambridge, Cambridge CB2 1PZ; UE-LI PEN; Canadian Inst for Theoretical Astrophysics, Toronto University, 60 St George Street, Toronto, Canada M5S 3H8; PAOLO PRANDONI; Laboratory for Audio-Visual Communications,
Swiss Federal Inst of Tech, CH-1005 Lausanne, Switzerland; MARTIN VETTERLI; Laboratory for Audio-Visual Communications, Swiss Federal Inst of Tech, CH-1005 Lausanne, Switzerland; or; Dept of Electrical Engineering & Computer Sciences, University of California, Berkeley, CA 94720, USA; JAMES B. RAMSEY; Dept of Economics, New York University, 269 Mercer Street, New York, NY 10003, USA; DAVID E. NEWLAND; Dept of Engineering, University of Cambridge, Trumpington Street, Cambridge CB2 1PZ
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Daubechies, Guskov, Schroder, & Sweldens: Wavelets on irregular point sets
Arneodo, Manneville, Muzy, & Roux: Revealing a lognormal cascading process in turbulent velocity statistics with wavelet analysis
Nicolleau & Vassilicos: Wavelets for the study of intermittency and its topology
Silverman: Wavelets in statistics: beyond the standard assumptions
Johnstone: Wavelets and the theory of non-parametric function-estimation
Candes & Donoho: Ridgelets: a key to higher-dimensional intermittency?
Nason & Sachs: Wavelets in time-series analysis
Field: Wavelets, vision, and the statistics of natural scenes
Kingsbury: Image processing with complex wavelets
Pen: Application of wavelets to filtering of noisy data
Prandoni & Vetterli: Approximation and compression of piecewise smooth functions
Ramsey: The contribution of wavelets to the analysis of economic and financial data
Newland: Harmonic wavelets in vibrations and acoustics
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The specification in this catalogue, including without limitation price, format, extent, number of illustrations, and month of publication, was as accurate as possible at the time the catalogue was compiled. Occasionally, due to the nature of some contractual restrictions, we are unable to ship a specific product to a particular territory. Jacket images are provisional and liable to change before publication.
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