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The wavelet transform, time-frequency localization and signal analysis

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1 Author(s)
I. Daubechies ; Math. Dept., Michigan Univ., Ann Arbor, MI, USA

Two different procedures for effecting a frequency analysis of a time-dependent signal locally in time are studied. The first procedure is the short-time or windowed Fourier transform; the second is the wavelet transform, in which high-frequency components are studied with sharper time resolution than low-frequency components. The similarities and the differences between these two methods are discussed. For both schemes a detailed study is made of the reconstruction method and its stability as a function of the chosen time-frequency density. Finally, the notion of time-frequency localization is made precise, within this framework, by two localization theorems

Published in:

IEEE Transactions on Information Theory  (Volume:36 ,  Issue: 5 )