Using edge information in time-frequency representations for chirp parameter estimation, (with N. Bennett), Applied and Computational Harmonic Analysis, vol.18, no.2, pp.186-197, 2005.
Time-frequency representations of a signal can provide a useful means for
obtaining parameter estimates for signals consisting of various chirps.
We demonstrate the utility of including edge information extracted from these
time-frequency representations when using a Hough transformation to perform
this task. In particular, we show that using the edge information:
(1) reduces the variance of the chirp parameter estimates in the case where
the chirp signal has a single component; and
(2) reduces the amount of spurious cross talk results when the signal has
multiple chirp components.
We further demonstrate a variation of our technique that detects the onset and
duration of individual chirp components.
We propose this technique as a fast preprocessing step for other algorithms
such as maximum likelihood estimation which can provide very accurate
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Get the official version via doi:10.1016/j.acha.2004.11.002.
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