TY - JOUR
T1 - An improved bidimensional empirical mode decomposition
T2 - A mean approach for fast decomposition
AU - Chen, Chin Yu
AU - Guo, Shu Mei
AU - Chang, Wei Sheng
AU - Tsai, Jason Sheng Hong
AU - Cheng, Kuo Sheng
N1 - Funding Information:
This work was supported by the National Science council of Republic of China under contacts NSC 102-2221-E-006-199 and NSC 102-2221-E-006-208-MY3 . This research also received funding from the Headquarters of University Advancement at the National Cheng Kung University, which is sponsored by the Ministry of Education, Taiwan, ROC.
PY - 2014/5
Y1 - 2014/5
N2 - In this paper, a mean approach is proposed to accelerate bidimensional empirical mode decomposition (BEMD). In the envelope generation process, the proposed method uses a modified mean filter to approximate the interpolated envelope of the conventional BEMD, and utilizes a convolution algorithm based on singular value decomposition (SVD) to further reduce the computation time. Order statistics filter width determination, originally used in fast and adaptive bidimensional empirical mode decomposition (FABEMD), is applied to adaptively formulate an envelope. Considering the computation efficiency, the proposed method improves the algorithm for calculating distances among extrema by using Delaunay triangulation (DT). The experimental results show that the mean approach can produce intrinsic mode functions faster than FABEMD, while retaining acceptable quality.
AB - In this paper, a mean approach is proposed to accelerate bidimensional empirical mode decomposition (BEMD). In the envelope generation process, the proposed method uses a modified mean filter to approximate the interpolated envelope of the conventional BEMD, and utilizes a convolution algorithm based on singular value decomposition (SVD) to further reduce the computation time. Order statistics filter width determination, originally used in fast and adaptive bidimensional empirical mode decomposition (FABEMD), is applied to adaptively formulate an envelope. Considering the computation efficiency, the proposed method improves the algorithm for calculating distances among extrema by using Delaunay triangulation (DT). The experimental results show that the mean approach can produce intrinsic mode functions faster than FABEMD, while retaining acceptable quality.
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U2 - 10.1016/j.sigpro.2013.11.034
DO - 10.1016/j.sigpro.2013.11.034
M3 - Article
AN - SCOPUS:84891701915
SN - 0165-1684
VL - 98
SP - 344
EP - 358
JO - Signal Processing
JF - Signal Processing
ER -