摘要： 针对Wigner-Ville分布(WVD)存在交叉项的问题，提出一种基于经验模态分解(EMD)的WVD交叉项抑制方法，将EMD得到的各固有模态函数去伪后进行WVD计算，将WVD分析结果线性叠加后重构出原始信号的WVD时频分布。仿真结果表明，该方法能有效抑制时频分布的交叉项，保证WVD的时频聚集性，分析信号的调幅调频现象。
关键词:
Wigner-Ville分布,
交叉项,
经验模态分解,
固有模态函数,
伪分量
Abstract: In order to suppress the cross-term of Wigner-Ville distribution(WVD), this paper proposes a WVD cross-term suppressing method based on Empirical Mode Decomposition(EMD). It calculates the Intrinsic Mode Function(IMF). WVD after delete the false components generated by EMD, and then the original signal WVD is reconstructed by linear superposing the IMF WVD results. Simulation results show that the method can effectively suppress the cross-term of WVD, ensure WVD time-frequency concentration, analysis the signal amplitude modulation phenomenon.
Key words:
Wigner-Ville Distribution(WVD),
cross-term,
Empirical Mode Decomposition(EMD),
Intrinsic Mode Function(IMF),
false component
中图分类号:
蔡艳平, 李艾华, 李仁兵, 李喜来, 白向峰. 基于经验模态分解的WVD交叉项抑制法[J]. 计算机工程, 2011, 37(7): 271-273.
CA Yan-Beng, LI Ai-Hua, LI Ren-Bing, LI Chi-Lai, BAI Xiang-Feng. WVD Cross-term Suppressing Method Based on Empirical Mode Decomposition[J]. Computer Engineering, 2011, 37(7): 271-273.