A Sparse Decomposition Method for Periodic Signal Mixtures

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概要

• 論文の詳細を見る

• This study proposes a method to decompose a signal into a set of periodic signals. The proposed decomposition method imposes a penalty on the resultant periodic subsignals in order to improve the sparsity of decomposition and avoid the overestimation of periods. This penalty is defined as the weighted sum of the l2 norms of the resultant periodic subsignals. This decomposition is approximated by an unconstrained minimization problem. In order to solve this problem, a relaxation algorithm is applied. In the experiments, decomposition results are presented to demonstrate the simultaneous detection of periods and waveforms hidden in signal mixtures.

• （社）電子情報通信学会の論文
• 2008-03-01

著者

• NAKASHIZUKA Makoto

  Graduate School of Engineering Science, Osaka University

• Nakashizuka Makoto

  Osaka Univ. Toyonaka‐shi Jpn

• Nakashizuka Makoto

  Graduate School Of Bio-application And Systems Engineering Tokyo University Of Agriculture And Techn

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