Phase Registration of a Single Quasi-Periodic Signal Using Self Dynamic Time Warping

Abstract. This paper proposes a method for phase registration of a single non-parametric quasi-periodic signal. After a short-term period has been detected for each sample by normalized autocorrelation, Self Dynamic Time Warping (Self DTW) between a quasi-periodic signal and that with multiple-period shifts is applied to obtain corresponding samples of the same phase. A phase sequence is finally estimated by the optimization framework including the data term derived from the correspondences, the regularization term derived from short-term periods, and a monotonic increasing constraint of the phase. Experiments on quasiperiodic signals from both simulated and real data show the effectiveness of the proposed method.

• Type: Journal
• Year: 2010
• Where: ACCV
• Authors: Yasushi Makihara, Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, Yasuhiro Mukaigawa, Yasushi Yagi
• Keywords: ACCV 2010, Computer Vision, Non-parametric Quasi-periodic Signal, Quasi-periodic Signal, Short-term Periods