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 parameter estimates.

  • Get the full paper: PDF file.
  • Get the official version via doi:10.1016/j.acha.2004.11.002.

  • Please email me if you have any comments or questions!
    Go back to Naoki's Publication Page