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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shifu Tang Hong Ma Liyun Su |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Math., Sichuan Univ., Chengdu (Shifu Tang; Hong Ma; Liyun Su) |
| Abstract | Hilbert-Huang transform (HHT) is a typical realization of the local wave analysis (LWA) and especially powerful for analysis of nonlinear and non-stationary signal. In this paper, from the view of filter, the principle of HHT will be studied and a smoothing filter theory will be put forward for explaining empirical mode decomposition (EMD). And because intrinsic mode functions (IMFs) by EMD and the time-frequency-energy distribution by Hubert transform (HT) can reflect the inherent essential characteristics of time series, based on HHT, a new method is obtained about change-point detection of time series. Experiments test the validity of the proposed method |
| File Size | 224218 |
| File Format | |
| ISBN | 0780397363 |
| DOI | 10.1109/ICOSP.2006.346101 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-11-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Filters Time series analysis Signal analysis Filtering theory Smoothing methods Forward contracts Testing Fault detection Genetic mutations Frequency |
| Content Type | Text |
| Resource Type | Article |
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