Phase registration of a single quasi-periodic signal using self dynamic time warping

Yasushi Makihara, Ngo Thanh Trung, Hajime Nagahara, Ryusuke Sagawa, Yasuhiro Mukaigawa, Yasushi Yagi

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

14 被引用数 (Scopus)

抄録

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 quasi-periodic signals from both simulated and real data show the effectiveness of the proposed method.

本文言語英語
ホスト出版物のタイトルComputer Vision, ACCV 2010 - 10th Asian Conference on Computer Vision, Revised Selected Papers
ページ667-678
ページ数12
PART 3
DOI
出版ステータス出版済み - 2011
イベント10th Asian Conference on Computer Vision, ACCV 2010 - Queenstown, ニュージ―ランド
継続期間: 11月 8 201011月 12 2010

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 3
6494 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他10th Asian Conference on Computer Vision, ACCV 2010
国/地域ニュージ―ランド
CityQueenstown
Period11/8/1011/12/10

!!!All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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