Empirical mode decomposition based on instantaneous frequency boundary. Issue 12 (1st June 2017)

• Record Type: Journal Article
• Authors: Li, Jiafu; Wang, Jun; Zhang, Xiaolin; Tang, Wenyan
• Is Part Of: Electronics letters. Volume 53:Issue 12(2017)
• Page Start: 781
• Page End: 783
• Publication Date: 2017-06-01
• Subjects: adaptive signal processing -- frequency‐domain analysis -- fast Fourier transforms -- filtering theory; empirical mode decomposition -- instantaneous frequency boundary information -- adaptive signal decomposition -- high‐order derivative operation -- frequency‐domain boundary -- subsection filtering method -- fast Fourier transform -- frequency resolution -- modal aliasing; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2016.3866
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : A method for the adaptive signal decomposition by using the frequency boundary information is proposed. This is achieved by the high‐order derivative operation that could extract the frequency‐domain boundary between the highest frequency portion and the rest parts of signal by using the proper order value and a subsection filtering method based on fast Fourier transform. Simulations show that the proposed method performs better in frequency resolution, modal aliasing than empirical mode decomposition, ensemble empirical mode decomposition (EEMD) and complementary ensemble empirical mode decomposition (CEEMD).