Adaptive window in the PWVD for the IF estimation of FM signals in additive Gaussian noise

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Adaptive window in the PWVD for the IF estimation of FM signals in additive Gaussian noise

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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

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