Wavelets and signal processing

A simple, nonrigorous, synthetic view of wavelet theory is presented for both review and tutorial purposes. The discussion includes nonstationary signal analysis, scale versus frequency, wavelet analysis and synthesis, scalograms, wavelet frames and orthonormal bases, the discrete-time case, and applications of wavelets in signal processing. The main definitions and properties of wavelet transforms are covered, and connections among the various fields where results have been developed are shown


Published in:
IEEE Signal Processing Magazine, 8, 4, 14-38
Year:
1991
Publisher:
Institute of Electrical and Electronics Engineers
ISSN:
1053-5888
Laboratories:




 Record created 2005-04-18, last modified 2018-11-14

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