Open AccessEmpirical mode decomposition based on instantaneous frequency boundary
Author(s) -
Li Jiafu,
Wang Jun,
Zhang Xiaolin,
Tang Wenyan
Publication year - 2017
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2016.3866
Subject(s) - hilbert–huang transform , aliasing , frequency domain , signal (programming language) , instantaneous phase , decomposition , mode (computer interface) , boundary (topology) , computer science , algorithm , filter (signal processing) , fourier transform , mathematics , mathematical analysis , computer vision , ecology , biology , programming language , operating system
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).