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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Makihara, Y. Aqmar, M.R. Ngo Thanh Trung Nagahara, H. Sagawa, R. Mukaigawa, Y. Yagi, Y. |
| Copyright Year | 1991 |
| Abstract | We propose a method for phase estimation of a single non-parametric quasi-periodic signal. Assuming signal intensities should be equal among samples of the same phase, such corresponding samples are obtained by self-dynamic time warping between a quasi-periodic signal and a signal with multiple-period shifts applied. A phase sequence is then estimated in a sub-sampling order using an optimization framework incorporating 1) a data term derived from the correspondences and 2) a smoothness term of the local phase evolution under 3) a monotonic-increasing constraint on the phase. Such a phase estimation is, however, ill-posed because of combination ambiguity between the phase evolution and the normalized periodic signal, and hence can result in a biased solution. Therefore, we introduce into the optimization framework 4) a bias correction term, which imposes zero-bias from the linear phase evolution. Analysis of the quasi-periodic signals from both simulated and real data indicate the effectiveness and also potential applications of the proposed method. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 2066 |
| Ending Page | 2079 |
| Page Count | 14 |
| File Size | 3496777 |
| File Format | |
| ISSN | 1053587X |
| Volume Number | 62 |
| Issue Number | 8 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-01-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Phase estimation Optimization Frequency modulation Frequency estimation Signal resolution Image sequences dynamic time warping Phase quasi-periodic signal |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering |
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