Title :
EMD Sifting Based on Bandwidth
Author :
Xuan, Bo ; Xie, Qiwei ; Peng, Silong
Author_Institution :
Chinese Acad. of Sci., Beijing
Abstract :
Empirical-mode decomposition (EMD) provides a powerful tool for adaptive multiscale analysis of nonstationary signals. Aiming at the intrinsic mode function (IMF) criteria in sifting process and the scale mixing problem in EMD, this paper proposes a bandwidth criterion for IMF. By analyzing the simulated signal, it is confirmed that the IMFs obtained with the bandwidth criterion approximate the real components better and reflect the intrinsic information of the analyzed signal. Furthermore, the criterion based on bandwidth can weaken the scale mixing problem.
Keywords :
bandwidth allocation; signal processing; adaptive multiscale analysis; bandwidth; empirical-mode decomposition; intrinsic mode function; nonstationary signal; scale mixing problem; sifting process; Analytical models; Bandwidth; Frequency; Information analysis; Narrowband; Signal analysis; Signal processing; Spectral analysis; Technology management; Wavelet analysis; Empirical-mode decomposition (EMD); instantaneous frequency (IF); intrinsic mode function (IMF); local narrowband signal;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2007.891833
