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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kaderli, A. Kayhan, A.S. |
| Copyright Year | 1991 |
| Abstract | The parameter and spectral estimation problems of nonstationary signals are considered. The nonstationary signals are modeled as rational processes with time-varying parameters. The spectral matching approach, which was introduced by Friedlander and Porat (1984), is generalized to the nonstationary case and two new estimators, namely, the time-varying spectral matching estimator (TVSME) and the time-frequency spectral matching estimator (TFSME) are proposed. The proposed methods estimate the parameters of the time-varying rational model by fitting the parametric spectrum expression to an estimated time-frequency distribution of the signal. An approximate statistical analysis is given for both methods along with computer simulation results, illustrating the performance of the proposed estimators. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 2223 |
| Ending Page | 2231 |
| Page Count | 9 |
| File Size | 242058 |
| File Format | |
| ISSN | 1053587X |
| Volume Number | 49 |
| Issue Number | 10 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-10-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Parameter estimation Signal processing Statistical analysis Taylor series Polynomials Computer simulation Spectral analysis Fourier transforms Equations Resonance light scattering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering |
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