| dc.contributor.author |
Barkat, B |
|
| dc.contributor.author |
Boashash, B |
|
| dc.contributor.author |
Stankovic, L.J. |
|
| dc.date.accessioned |
2012-06-20T05:04:08Z |
|
| dc.date.available |
2012-06-20T05:04:08Z |
|
| dc.date.issued |
1999 |
|
| dc.identifier.citation |
B. Barkat, B. Boashash, and L. J. Stankovic, "Adaptive window in the PWVD for the IF estimation of FM signals in additive Gaussian noise," in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing, 1999, vol.3, pp. 1317-1320 |
en_US |
| dc.identifier.uri |
http://dx.doi.org/10.1109/ICASSP.1999.756222 |
|
| dc.identifier.uri |
http://hdl.handle.net/10576/10864 |
|
| dc.description.abstract |
The peak of the polynomial Wigner-Ville distribution is known to be a consistent estimator of the instantaneous frequency for polynomial FM signals. We present an algorithm for the design of an optimal time-varying window length for this estimator when noisy non-linear, not necessarily polynomial, FM signals are considered. The results obtained show that the estimator is accurate and outperforms any fixed window time-frequency distribution based estimator. |
en_US |
| dc.language.iso |
en |
en_US |
| dc.publisher |
IEEE |
en_US |
| dc.title |
Adaptive window in the PWVD for the IF estimation of FM signals in additive Gaussian noise |
en_US |
| dc.type |
Article |
en_US |