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Empirical Mode Decomposition Combined with Local Linear Quantile Regression for Automatic Boundary Correction

Empirical mode decomposition (EMD) is particularly useful in analyzing nonstationary and nonlinear time series. However, only partial data within boundaries are available because of the bounded support of the underlying time series. Consequently, the application of EMD to finite time series data r...

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書誌詳細
主要な著者:	M. Jaber, Abobaker, Ismail, Mohd Tahir, M. Altaher, Alssaidi
フォーマット:	論文
言語:	English
出版事項:	Hindawi Publishing Corporation 2014
主題:	QA1-939 Mathematics
オンライン･アクセス:	http://eprints.usm.my/38950/1/Empirical_Mode_Decomposition_Combined_with_Local_Linear_Quantile_Regression_for_Automatic_Boundary_Correction.pdf http://eprints.usm.my/38950/ http://dx.doi.org/10.1155/2014/731827
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