Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9500321 | Applied and Computational Harmonic Analysis | 2005 | 12 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Mathematics
Analysis
Authors
Nicholas N. Bennett, Naoki Saito,