Regenerated Phase-shifted Sinusoid-assisted Empirical Mode Decomposition
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...
Hauptverfasser: | Wang, Chenxing, Kemao, Qian, Da, Feipeng |
---|---|
Weitere Verfasser: | School of Computer Engineering |
Format: | Journal Article |
Sprache: | English |
Veröffentlicht: |
2016
|
Schlagworte: | |
Online Zugang: | https://hdl.handle.net/10356/80310 http://hdl.handle.net/10220/40536 |
Ähnliche Einträge
Ähnliche Einträge
-
An effective electrocardiogram segments denoising method combined with ensemble empirical mode decomposition, empirical mode decomposition, and wavelet packet
von: Yaru Yue, et al.
Veröffentlicht: (2023-06-01) -
Regenerated phase-shifted sinusoids assisted EMD for adaptive analysis of fringe patterns
von: Wang, Chenxing, et al.
Veröffentlicht: (2016) -
Application of EMD in fringe analysis: new developments
von: Wang, Chenxing, et al.
Veröffentlicht: (2018) -
Classification of motor imagery signals using noise-assisted fast multivariate empirical mode decomposition
von: Qian ZHENG, et al.
Veröffentlicht: (2020-09-01) -
Empirical mode decomposition/Hilbert transform analysis of postural responses to small amplitude anterior-posterior sinusoidal translations of varying frequencies
von: Rakesh Pilkar, et al.
Veröffentlicht: (2011-07-01)