Self Spectrum Window Method in Wigner-Ville Distribution

Wigner-Ville distribution (WVD) is an important type of time-frequency analysis in biomedical signal processing. The cross-term interference in WVD has a disadvantageous influence on its application. In this research, the self spectrum window (SSW) method was put forward to suppress the cross-term interference, based on the fact that the cross-term and auto-WVD-terms in integral kernel function are orthogonal. With the self spectrum window (SSW) algorithm, a real auto-WVD function was used as a template to cross-correlate with the integral kernel function, and the short time Fourier transform (STFT) spectrum of the signal was used as window function to process the WVD in time-frequency plane. The SSW method was confirmed by computer simulation with good analysis results. Satisfactory time-frequency distribution was obtained