上海大学学报（英文版）
上海大學學報（英文版）
상해대학학보（영문판）
JOURNAL OF SHANGHAI UNIVERSITY (ENGLISH EDITION)
2008年
5期
444-449
,共6页
张敏聪%朱开玉%李从心
張敏聰%硃開玉%李從心
장민총%주개옥%리종심
segmented second empirical mode decomposition (EMD) algorithm%time-frequency analysis%intrinsic mode functions (IMF)%first-level decomposition
A new algorithm, named segmented second empirical mode decomposition (EMD) algorithm, is proposed in this paper in order to reduce the computing time of EMD and make EMD algorithm available to online time-frequency analysis. The original data is divided into some segments with the same length. Each segment data is processed based on the principle of the first-level EMD decomposition. The algorithm is compared with the traditional EMD and results show that it is more useful and effective for analyzing nonlinear and non-stationary signals.
