
Wavelets: the Key to Intermittent Information?
Oxford University Press
Published on 15. June 2000
Book
Hardback
272 pages
978-0-19-850716-1 (ISBN)
Description
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.
More details
Language
English
Place of publication
Oxford
United Kingdom
Target group
Professional and scholarly
Illustrations
1 colour plate, numerous halftones and line figures
Dimensions
Height: 240 mm
Width: 163 mm
Thickness: 20 mm
Weight
609 gr
ISBN-13
978-0-19-850716-1 (9780198507161)
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Schweitzer Classification
Persons
Editor
School of MathematicsSchool of Mathematics, University of Bristol
Department of Applied Mathematics and Theoretical PhysicsDepartment of Applied Mathematics and Theoretical Physics, University of Cambridge
Content
Wavelets on irregular point sets ; Revealing a lognormal cascading process in turbulent velocity statistics with wavelet analysis ; Wavelets for the study of intermittency and its topology ; Wavelets in statistics: beyond the standard assumptions ; Wavelets and the theory of non-parametric function-estimation ; Ridgelets: a key to higher-dimensional intermittency? ; Wavelets in time-series analysis ; Wavelets, vision, and the statistics of natural scenes ; Image processing with complex wavelets ; Application of wavelets to filtering of noisy data ; Approximation and compression of piecewise smooth functions ; The contribution of wavelets to the analysis of economic and financial data ; Harmonic wavelets in vibrations and acoustics