A New Approach to Improved Hilbert-Huang Transform

Author

Wu, Qi ; Liu, Yi-bing ; Yan, Ke-guo

Author_Institution

Dept. of Autom. Eng., North China Electr. Power Univ., Beijing

Volume

2

fYear

0

fDate

0-0 0

Firstpage

5506

Lastpage

5510

Abstract

Hilbert-Huang transform (HHT) is a new signal processing method for analyzing the non-linear and non-stationary signal, but it still has some limitations. The paper discusses the problem of illusive component due to HHT, uses the Kolmogorov-Smirnov test to recognise the illusive component, proposes the similarity probability between the IMFs and the signal as the standard whether a IMF is illusive or not, and gets the aim to exclude the illusive component. The signal simulate test proved that this method to deal with the illusive component has an obvious advantage and reasonability

Keywords

Hilbert transforms; probability; signal processing; Hilbert-Huang transform; Kolmogorov-Smirnov test; nonlinear signal analysis; nonstationary signal analysis; signal processing; similarity probability; Automation; Fourier transforms; Power engineering and energy; Signal analysis; Signal processing; Signal resolution; Testing; Time domain analysis; Time frequency analysis; Wavelet transforms; K-S test; illusive component; improved Hilbert-Huang transform; signal process; similarity probability;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1714126

Filename

1714126