Using Time Deformation to Filter Nonstationary Time Series with Multiple Time-Frequency Structures
For nonstationary time series consisting of multiple time-varying frequency (TVF) components where the frequency of components overlaps in time, classical linear filters fail to extract components. The G-filter based on time deformation has been developed to extract components of multicomponent G-st...
Saved in:
Main Authors: | Mengyuan Xu, Wayne A. Woodward, Henry L. Gray |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2013-01-01
|
Series: | Journal of Probability and Statistics |
Online Access: | http://dx.doi.org/10.1155/2013/569597 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
G-Filtering Nonstationary Time Series
by: Mengyuan Xu, et al.
Published: (2012-01-01) -
A Comparative Study of VMD-Based Hybrid Forecasting Model for Nonstationary Daily Streamflow Time Series
by: Hui Hu, et al.
Published: (2020-01-01) -
QTFN: A General End-to-End Time-Frequency Network to Reveal the Time-Varying Signatures of the Time Series
by: Tao Chen, et al.
Published: (2024-09-01) -
Nonstationary Generalised Autoregressive Conditional Heteroskedasticity Modelling for Fitting Higher Order Moments of Financial Series within Moving Time Windows
by: Luke De Clerk, et al.
Published: (2022-01-01) -
Error Characteristic Analysis and Filtering Algorithm for GNSS Time-Series Data
by: Hongli Zhang, et al.
Published: (2025-01-01)