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Suppression of cross-terms in Wigner-Ville Distribution based on short-term Fourier transform

机译:基于短期傅里叶变换的Wigner-Ville分布中的交叉项抑制

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The time-frequency analysis method studies the spectrum of signal at a certain time, and can analyze the signal locally. It is suitable for the analysis of non-stationary signal. For time-frequency analysis of cosine signal contained in multi-frequency component, with the property of short-term Fourier transform (STFT) not generating cross-term, STFT and WVD (Wigner-Ville Distribution) are combined. In this way, generation of cross-term is suppressed while maintaining high time-frequency resolution. For partial discharge signal is simulated and analyzed using MATLAB. The simulation results show that: through the means to restrain the generation of cross terms, get the correct frequency information of multi frequency signal, also reflected in the frequency diagram frequency aggregation of good, is conducive to the detection and processing of multi frequency signal or signal superimposed composite signal.
机译:时频分析方法研究某一时刻信号的频谱,并且可以对信号进行局部分析。适用于非平稳信号的分析。为了对包含在多频率分量中的余弦信号进行时频分析,利用短时傅立叶变换(STFT)的特性而不产生交叉项,将STFT和WVD(维格纳-维尔分布)组合在一起。这样,在保持高时频分辨率的同时抑制了交叉项的产生。对于局部放电信号,使用MATLAB进行仿真和分析。仿真结果表明:通过抑制交叉项的产生,得到正确的多频信号频率信息,在频率图上也反映出良好的频率聚集性,有利于多频信号的检测和处理。信号叠加复合信号。

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