Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/44795

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Title
Time-frequency and time-scale methods: adaptive decompositions, uncertainty principles, and sampling
Author/Creator
Hogan, Jeffrey A.;  Lakey, Joseph D.
Description
Developed in this book are several deep connections between time-frequency (Fourier/Gabor) analysis and time-scale (wavelet) analysis, emphasizing the powerful adaptive methods that emerge when separate techniques from each area are properly assembled in a larger context. While researchers at the forefront of developments in time-frequency and time-scale analysis are well aware of the benefits of such a unified approach, there remains a knowledge gap in the larger community of practitioners about the precise strengths and limitations of Fourier/Gabor analysis versus wavelets. This book fills that gap by presenting the interface of time-frequency and time-scale methods as a rich area of work.
Relation
Applied and Numerical Harmonic Analysis
Publisher Link
http://dx.doi.org/10.1007/b139077
Date
2005
Publisher
Birkhauser
Keyword(s)
time-series analysis;  mathematical analysis;  time-frequency analysis;  time-scale analysis;  Fourier/Gabor;  wavelets
Resource Type
book
Identifier
http://hdl.handle.net/1959.13/44795
Identifier
ISBN:9780817644314
Language
eng
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Subject
"Time-frequency and time-scale methods: adaptive decompositions, uncertainty principles, and sampling"
 
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