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A Novel Signal Feature Extraction Method Based on Wavelet Analysis

机译:一种基于小波分析的新型信号特征提取方法

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The frequency characteristics of the Daubechies wavelet series were analyzed. The problem of the frequency band energy leakage (FBEL) of the wavelet analysis was pointed out. The FBEL affects the veracity of the signal feature extraction. By the simulation research, the basic rules of the FBEL were opened out, and a frequency band energy modification method was proposed. On the basis of the frequency band energy increment comparison method, the feature of the signal change are gotten by calculating the FBEL coefficients of the left and right adjacent frequency bands and the modified energy of the feature frequency band. It is shown that the effect of the FBEL can be eliminated by the frequency band energy modification method. This method is suitable to the signal feature extraction.
机译:分析了Daubechies小波系列的频率特性。指出了小波分析的频带能量泄漏(FBEL)的问题。 FBEL影响信号特征提取的真实性。通过仿真研究,开出了FBEL的基本规则,提出了一种频带能量改性方法。在频带能量增量比较方法的基础上,通过计算左右相邻频带的FBEL系数和特征频带的修改能量来获得信号变化的特征。结果表明,频带能量修改方法可以消除FBEL的效果。该方法适用于信号特征提取。

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