Wavelets
Subtitle: time-frequency methods and phase space : proceedings of the international conference, Marseille, France, December 14-18, 1987
By: J.M. Combes, A. Grossmann, Ph. Tchamitchian, (eds.)..
Contributors: Combes, J. M.; Grossmann, A; Tchamitchian, Philippe.
Edition: 2nd rev. and enl. ed.
Series: Inverse problems and theoretical imaging
Publisher: Springer-Verlag
Published: 1990
Place of publication: Berlin; New York
Language: eng
Number of pages: 331
Subjects: Phase space (statistical physics) -- Congresses.; Time measurements -- Congresses.; Mathematical physics -- Congresses.
Description: Time-frequency methods and phase space are well known to most physicists, engineers and mathematicians as is the traditional Fourier analysis. Recently the latter found for quite a few applications a competitor in the concept of wavelets. Crudely speaking a wavelet decomposition is an expansion of an arbitrary function into smooth localized contributions labeled by a scale and a position parameter. This meeting brought together people exploring and applying these concepts in an interdisciplinary framework. The topics discussed range from purely mathematical aspects over signal analysis, seismic and acoustic applications via animal sonar systems to wavelets in computer vision.
Notes: Includes bibliographical references and indexes.