Wavelets: Time-Frequency Methods and Phase Space (inverse problems and theoretical imaging): Time-Frequency Methods and Phase Space Proceedings of the ... Marseille, France, December 14-18, 1987 - Tapa blanda

Combes, Jean-Michel

 
9783540530145: Wavelets: Time-Frequency Methods and Phase Space (inverse problems and theoretical imaging): Time-Frequency Methods and Phase Space Proceedings of the ... Marseille, France, December 14-18, 1987
Tapa blanda
ISBN 10: 3540530142 ISBN 13: 9783540530145
Editorial: Springer, 1992

Sinopsis

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.

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Reseña del editor

The last two subjects mentioned in the title "Wavelets, Time Frequency Methods and Phase Space" are so well established that they do not need any explanations. The first is related to them, but a short introduction is appropriate since the concept of wavelets emerged fairly recently. Roughly speaking, a wavelet decomposition is an expansion of an arbitrary function into smooth localized contributions labeled by a scale and a position pa­ rameter. Many of the ideas and techniques related to such expansions have existed for a long time and are widely used in mathematical analysis, theoretical physics and engineering. However, the rate of progress increased significantly when it was realized that these ideas could give rise to straightforward calculational methods applicable to different fields. The interdisciplinary structure (R.C.P. "Ondelettes") of the C.N.R.S. and help from the Societe Nationale Elf-Aquitaine greatly fostered these developments. The conference, the proceedings of which are contained in this volume, was held at the Centre National de Rencontres Mathematiques (C.N.R.M) in Marseille from December 14-18, 1987 and bought together an interdisciplinary mix of par­ ticipants. We hope that these proceedings will convey to the reader some of the excitement and flavor of the meeting.

Reseña del editor

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
1992
Idioma
Inglés
ISBN 10 
3540530142
ISBN 13 
9783540530145
Encuadernación
Tapa blanda
Número de edición
2
Número de páginas
344
Contacto del fabricante
no disponible
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