Abstract
Wavelet transforms have recently emerged as a mathematical tool for multiresolution decomposition of signals. They have potential applications in many areas of signal processing that require variable time-frequency localization. The continuous wavelet transform is presented here, and its frequency resolution is derived analytically and shown to depend exclusively on one parameter that should be carefully selected in constructing a variable resolution time-frequency distribution for a given signal. Several examples of application to synthetic and real data are shown.
Original language | English (US) |
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Pages (from-to) | 134-139 |
Number of pages | 6 |
Journal | Johns Hopkins APL Technical Digest (Applied Physics Laboratory) |
Volume | 18 |
Issue number | 1 |
State | Published - Jan 1997 |
Externally published | Yes |
Keywords
- Continuous wavelets
- Signal processing
- Time-frequency analysis
ASJC Scopus subject areas
- General Engineering
- General Physics and Astronomy