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A Method to Suppress Cross-Terms of Wigner-Ville Distribution Using ASTFT Spectrum
利用ASTFT谱有效抑制WVD交叉项的方法

Keywords: Wigner-Ville Distribution(WVD),Adaptive Short-Time Fourier Transform (ASTFT),Cross-terms,Time-frequency distribution
维格纳分布(WVD)
,自适应短时傅里叶变换(ASTFT),交叉项,时频分布

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Abstract:

The rules of correlation between auto-terms and cross-terms of Wigner-Ville Distribution(WVD) are obtained by analyzing the WVD and a new method to suppress cross-terms of WVD using Adaptive Short-Time Fourier Transform (ASTFT) spectrum is put forward. Firstly, the signal ASTFT spectrum which can determine the signal component positions in the time-frequency plane is obtained. Then, window function, ASTFT spectrum, is selected to process the signal WVD. Thus the cross-term interference can be effectively restrained, and it retains the much finer characteristics of WVD, such as high resolution jointly in time and frequency and energy centralizing. The examples indicate that a better resolution and more effective suppression of cross-term interference is obtained in the end.

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