Regenerated Phase-shifted Sinusoid-assisted Empirical Mode Decomposition

• Main Authors: Wang, Chenxing, Kemao, Qian, Da, Feipeng
• 其他作者: School of Computer Engineering
• 格式: Article
• 語言: English
• 出版: 2016
• 主題: Empirical mode decomposition; Games; Indexes; Signal processing algorithms; Time-frequency analysis; White noise; Technological innovation
• 在線閱讀: https://hdl.handle.net/10356/80310; http://hdl.handle.net/10220/40536
• 機構: Nanyang Technological University

The effectiveness of the renowned empirical mode decomposition (EMD) is affected by the mode-mixing problem (MMP) if a signal contains intermittent modes. The ensemble EMD (EEMD) and several modified and extended algorithms solve this problem by adding random white noises. However, the necessary lar...