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

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 res...

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Bibliographic Details
Main Authors: Abobaker M. Jaber, Mohd Tahir Ismail, Alssaidi M. Altaher
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2014/731827
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