Title :
An Improved Empirical Mode Decomposition
Author :
Yang, Zhihua ; Yang, Lihua
Author_Institution :
Inf. Sci. & Technol. Sch., Guangdong Univ. of Bus. Studies, Guangzhou, China
Abstract :
Based on a detailed discussion regarding the attributes of so-called ride waves and the shortages of the classical empirical mode decomposition, this paper presents an improved method. A key point of the proposed method is that the ride waves in a signal should been first removed as independent components before the classical empirical mode decomposition is conducted. Experiments have shown that the proposed method makes much physical sense and the final presentation-Hilbert spectrum gives sharper localization both on time and frequency fields.
Keywords :
Hilbert transforms; adaptive signal processing; Hilbert spectrum; Hilbert-Huang transform; empirical mode decomposition; intrinsic mode function; ride waves; Information science; Mathematics; Neural networks; Partial differential equations; Signal processing; Signal processing algorithms; Spline; Sun; Time frequency analysis;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5304356