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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Papandreou-Suppappola, A. Suppappola, S.B. |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA (Papandreou-Suppappola, A.) |
| Abstract | We propose an adaptive quadratic time-frequency representation (QTFR) based on a matching pursuit signal decomposition that uses a dictionary with elements matched to the instantaneous frequency of the analysis signal components. We form the QTFR as a weighted linear superposition of QTFRs chosen by the algorithm to provide a highly localized representation for each of the adaptively selected dictionary elements. This is advantageous as the resulting representations are parsimonious and reduce the effect of cross terms. Also, they exhibit maximum time-frequency localization for the difficult analysis case of signals with multiple components that have different time-frequency characteristics. Thus, the new technique can be used to analyze and classify multi-structure signal components as demonstrated by our synthetic and real data simulation examples. |
| Starting Page | 579 |
| Ending Page | 583 |
| File Size | 806054 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780359887 |
| DOI | 10.1109/SSAP.2000.870191 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-08-16 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Time frequency analysis Dictionaries Signal analysis Matching pursuit algorithms Dispersion Iterative algorithms Chirp Electronic mail Analytical models Information analysis |
| Content Type | Text |
| Resource Type | Article |
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