Performance Comparison of Dense Frequency Identifications for Empirical Mode Decomposition
2011 ◽
Vol 378-379
◽
pp. 266-269
Keyword(s):
Empirical Mode Decomposition(EMD) suffers some difficulties in separating dense frequencies. The Wavelet Packet Transform (WPT) and Singular-Value Decomposition (SVD) as signal preprocessors were used to decompose a simulated signal with dense frequency components and the performances of two signal preprocess technologies were compared in this paper. The results show that Singular-Value Decomposition (SVD) as preprocessor was better in separating dense frequencies than Wavelet Packet Transform (WPT).
2009 ◽
Vol 09
(03)
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pp. 449-477
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2016 ◽
Vol 231
(22)
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pp. 4186-4196
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Vol 46
(05)
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pp. 37
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2012 ◽
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pp. 912-916
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Vol 232
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pp. 2280-2296
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2013 ◽
Vol 433-435
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pp. 477-482
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