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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Katkovnik, V. |
| Copyright Year | 1995 |
| Description | Author affiliation: Dept. of Stat., South Africa Univ., Pretoria, South Africa (Katkovnik, V.) |
| Abstract | The local polynomial Fourier transform (LPFT) and the local polynomial periodogram (LPP) are proposed in order to estimate the rapidly time-varying instantaneous frequency (IF) /spl Omega/(t) of a harmonic signal. The LPFT gives the time-frequency power distribution over the t-(/spl Omega/(t), d/spl Omega/(t)/dt,...,d/sup m-1//spl Omega/(t)/dt/sup m-1/) space, where m is a degree of the LPFT. The LPFT enables one to estimate both the time-varying frequency and its derivatives. The technique is based on fitting the local polynomial approximation of the frequency which implements a high-order nonparametric regression. The a priori information about bounds for the frequency and its derivatives can be incorporated to improve the accuracy of the estimation. The asymptotic mean square errors, bias and covariance, of the estimators of d/sup s//spl Omega/(t)/dt/sup s/, s=0, 1,2,...,m/sup -1/, are obtained. The considered estimators are high-order generalization of the short-time Fourier transform. The comparative study of the asymptotic variance and bias of the estimates is presented. |
| Starting Page | 179 |
| Ending Page | 182 |
| File Size | 358032 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780325168 |
| DOI | 10.1109/ISSSE.1995.497962 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-10-25 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fourier transforms Frequency estimation Polynomials Time frequency analysis Signal analysis Speech Multiple signal classification Music Radar Sonar |
| Content Type | Text |
| Resource Type | Article |
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