NDLI: Comparison between intrinsic time-scale decomposition and Hilbert-Huang transform

Content Provider	IEEE Xplore Digital Library
Author	Jinshan Lin
Copyright Year	2010
Description	Author affiliation: School of Mechanical and Electronic Engineering, Weifang University, China (Jinshan Lin)
Abstract	The paper introduces a new non-stationary and nonlinear signal processing method: intrinsic time-scale decomposition (ITD). The ITD method can self-adaptively decompose a complex signal into a set of proper rotation components (PRCs) with really physical meaning and one monotonous trend; it constructs the piece-wise linear baseline signal between successive extrema and computes the instantaneous amplitude and frequency based on the piece-wise wave of each PRC. First, the ITD method is presented. Then, it is used to analyze a simulation signal and good results are obtained. Finally, the ITD method is compared with the Hilbert-Huang transform method and the comparison shows that the ITD method has some clear advantages in preventing overshoots and undershoots, reducing the boundary effect and increasing the computation efficiency.
Starting Page	5005
Ending Page	5008
File Size	344175
Page Count	4
File Format	PDF
ISBN	9781424476169
e-ISBN	9781424476183
DOI	10.1109/ICISE.2010.5691974
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Presses Proper rotation component (PRC) Boundary effect Transforms Non-stationary signal Time frequency analysis Intrinsic time-scale decomposition (ITD) System-on-a-chip Signal analysis Hilbert-Huang transform
Content Type	Text
Resource Type	Article

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