Signal Feature Extraction Base on Fractal dimensions of Time-Frequency Domain

被引：0
|
作者：
Yuan Yu [1 ]
Shang Jingshan [1 ]
Li Baoliang [1 ]
Yao Shixuan [1 ]
机构：
[1] Dalian JiaoTong Univ, Sch Mech Engn, Dalian 116028, Peoples R China
来源：
2009 WORLD CONGRESS ON NATURE & BIOLOGICALLY INSPIRED COMPUTING (NABIC 2009) | 2009年
关键词：
multifractal; Hilbert-Huang transform; general dimension;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, vibration signal multifractal method was researched, multifractal on time-frenquency domain was an energy fractal and the signal feature extraction was based on the analysis of its energy distributing. The method analysed signal on time-frequency domain to characterize the distributing of its frequency or energy, and the signal's feature was extracted by fractal dimension. After the signal was changed to time-frequency domain by Hilbert-Huang transform, general dimension Dq would be calculated from the signal in time-frequency domain by least square method. In the end, examples of emulator and practical application proved that this integrated method was feasible.
引用
收藏
页码：987 / 991
页数：5
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