Abstract：Time-frequency distribution provides signal features in the joint time and frequency domain. Wigner-Ville distribution and wavelet scalogram, as two methods of time-frequency analysis both have inherent defects, because Wigner-Ville distribution suffers severe interference terms, while wavelet scalogram has low time-frequency concentration. This paper proposes a time-frequency fusion algorithm based on Wigner-Ville distribution and wavelet scalogram, which aims at eliminating interference terms and keeping good resolution. Simulation study shows that the time-frequency fusion algorithm is effective in suppressing the interference terms while keeping high resolution in time and frequency plane, and it also inhibits the disturbance of the weak noise. The comparison of the proposed method with Cohen’s idea of time–frequency analysis reveals that the fusion algorithm is superior. Application in time-frequency representation of bearing vibration signals, the fusion algorithm eliminates interference terms of time-frequency representation and keeps good time-frequency aggregation, which represents that the fusion algorithm is effective in time-frequency feature representation.
龚海健;黄伟国;赵凯;李双;朱忠奎. 基于Wigner-Ville分布与小波尺度谱融合的时频特征提取方法[J]. , 2011, 30(12): 35-38.
GONG Ha-ijian;HUANG Wei-guo;ZHAO Kai;LI Shuang;ZHU Zhon-gkui. The fusion of wigner-ville distribution and wavelet scalogram for time-frequency feature representation. , 2011, 30(12): 35-38.
2011, Vol. 30 
