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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lilly, J.M. Olhede, S.C. |
| Copyright Year | 1991 |
| Abstract | The concept of a common modulated oscillation spanning multiple time series is formalized, a method for the recovery of such a signal from potentially noisy observations is proposed, and the time-varying bias properties of the recovery method are derived. The method, an extension of wavelet ridge analysis to the multivariate case, identifies the common oscillation by seeking, at each point in time, a frequency for which a bandpassed version of the signal obtains a local maximum in power. The lowest-order bias is shown to involve a quantity, termed the instantaneous curvature, which measures the strength of local quadratic modulation of the signal after demodulation by the common oscillation frequency. The bias can be made to be small if the analysis filter, or wavelet, can be chosen such that the signal's instantaneous curvature changes little over the filter time scale. An application is presented to the detection of vortex motions in a set of freely drifting oceanographic instruments tracking the ocean currents. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 600 |
| Ending Page | 612 |
| Page Count | 13 |
| File Size | 1012592 |
| File Format | |
| ISSN | 1053587X |
| Volume Number | 60 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-02-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Oscillators Vectors Frequency modulation Joints Time frequency analysis Time series analysis multivariate signal Amplitude and frequency modulated signal analytic signal Bedrosian's theorem complex-valued signal complex-valued time series |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering |
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