title: Self spectrum window method in wigner-ville distribution.
abstract: 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.
authors.affiliation: School of Control Science and Engineering, Shandong University, Jinan, 250061, China.
authors.forename: Zhongguo
authors.initials: Z
authors.lastname: Liu
authors.forename: Changchun
authors.initials: C
authors.lastname: Liu
authors.forename: Boqiang
authors.initials: B
authors.lastname: Liu
authors.forename: Yangsheng
authors.initials: Y
authors.lastname: Lv
authors.forename: Yinsheng
authors.initials: Y
authors.lastname: Lei
authors.forename: Mengsun
authors.initials: M
authors.lastname: Yu