By Topic

EMD Sifting Based on Bandwidth

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Bo Xuan ; Chinese Acad. of Sci., Beijing ; Qiwei Xie ; Silong Peng

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.

Published in:

Signal Processing Letters, IEEE  (Volume:14 ,  Issue: 8 )