DocumentCode :
1016127
Title :
A wavelet magnitude analysis theorem
Author :
Anderson, James C.
Author_Institution :
Lincoln Lab., MIT, Lexington, MA, USA
Volume :
41
Issue :
12
fYear :
1993
fDate :
12/1/1993 12:00:00 AM
Firstpage :
3541
Lastpage :
3543
Abstract :
The wavelet transform is a special case of the generalized short-time Fourier transform (GSTFT), which predates wavelet analysis by many years. The theorem presented here is one example of how GSTFT research can be beneficially applied to wavelet analysis
Keywords :
fast Fourier transforms; filtering and prediction theory; wavelet transforms; GSTFT; filtering; generalized short-time Fourier transform; wavelet analysis; wavelet magnitude analysis theorem; Acceleration; Constraint theory; Fourier transforms; Frequency; Information analysis; Robustness; Signal analysis; Spectrogram; Wavelet analysis; Wavelet transforms;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.258093
Filename :
258093
Link To Document :
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