Abstract
We introduce a new method for the time-scale analysis of nonstationary signals. Our work leverages the success of the "time-frequency distribution series/cross-term deleted representations" into the time-scale domain to match wideband signals that are better modeled in terms of time shifts and scale changes than in terms of time and frequency shifts. Using a wavelet decomposition and the Bertrand timescale distribution, we locally balance linearity and bilinearity in order to provide good resolution while suppressing troublesome interference components. The theory of frames provides a unifying perspective for cross-term deleted representations in general.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 287 |
| Number of pages | 1 |
| Journal | IEEE Transactions on Signal Processing |
| Volume | 45 |
| Issue number | 1 |
| State | Published - 1997 |
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering