Applications of wavelet analysis to the geophysical sciences grew from Jean Morlet's work on seismic signals in the 1980s. Used to detect signals against noise, wavelet analysis excels for transients or for spatiallylocalized phenomena. In this fourth volume in the renown WAVELET ANALYSIS AND ITS APPLICATIONS Series, Efi Foufoula-Georgiou and Praveen Kumar begin with a self-contained overview of the nature, power, and scope of wavelet transforms. The eleven originalpapers that follow in this edited treatise show how geophysical researchers are using wavelets to analyze such diverse phenomena as intermittent atmospheric turbulence, seafloor bathymetry, marine and other seismic data, and flow in aquifiers. Wavelets in Geophysics will make informative reading for geophysicists seeking an up-to-date account of how these tools are being used as well as for wavelet researchers searching for ideas for applications, or even new points of departure.
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This is certainly a favorable book for someone seeking an account of wavelet applications in earth sciences. Do we recommend buying it? Yes, as long as you possess a complementary book more throughly detailing the fundamentals ofwavelet theory.
--PAGEOPH
This book brings wavelets back to (the) earth, and provides a good reference for any researcher who is interested in the applications of wavelet transforms in geophysics....Geophysics covers a very wide study area--from the atmosphere, several hundred miles high, to the very center of the earth. In this sense, the book itself is localized in both time and space.
Only in the past couple of years have geophysicists started to reevaluate the use of wavelet transformsin their applications. Thus it is very encouraging to find a new publication detailing some recent developments and applications of the use of wavelet transforms in geophysics.
--Mathematics of Computation
The book under review is of definite interest to all applied researchers in the field. ...this book is very timely: the papers cover a wide range of applications and the results are well presented. We recommend this book without hesitation to any researcher, practitioner or student in geophysics.
--MATHEMATICS OF COMPUTATION
The study of wavelets grew from Jean Morlet's geophysical work on seismic signals. Since then wavelets have been developed extensively by mathematicians and others. Wavelets in Qeophysics brings wavelets back to their roots in geophysics. This book shows how geophysical researchers are using wavelets to analyze such diverse phenomena as intermittent atmospheric turbulence, seafloor bathymetry, marine and other seismic data, and flow in aquifers. Used to detect signals against noise, wavelet analysis excels for analyzing transients or spatially localized phenomena. In this fourth volume in the renowed Wavelet Analysis and its Applications series, Eli Foufoula-Grorgiou and Praveen Kumar begin with an overview of nature, power, and scope of wavelet transforms. The eleven chapters that follow will make informative reading for geophysics seeking an up-to-date account of how these tools are being used, as well as for wavelet researchers looking for ideas for applications or even new points of departure.|The study of wavelets grew from Jean Morlet's geophysical work on seismic signals. Since then wavelets have been developed extensively by mathematicians and others. Wavelets in Qeophysics brings wavelets back to their roots in geophysics. This book shows how geophysical researchers are using wavelets to analyze such diverse phenomena as intermittent atmospheric turbulence, seafloor bathymetry, marine and other seismic data, and flow in aquifers. Used to detect signals against noise, wavelet analysis excels for analyzing transients or spatially localized phenomena. In this fourth volume in the renowed Wavelet Analysis and its Applications series, Eli Foufoula-Grorgiou and Praveen Kumar begin with an overview of nature, power, and scope of wavelet transforms. The eleven chapters that follow will make informative reading for geophysics seeking an up-to-date account of how these tools are being used, as well as for wavelet researchers looking for ideas for applications or even new points of departure.
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