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...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Hindawi Publishing Corporation
2014
|
| Subjects: | |
| Online Access: | 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 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|