Title :
Self Spectrum Window Method in Wigner-Ville Distribution
Author :
Liu, Zhongguo ; Liu, Changchun ; Liu, Boqiang ; Lv, Yangsheng ; Lei, Yinsheng ; Yu, Mengsun
Author_Institution :
Sch. of Control Sci. & Eng., Shandong Univ., Jinan
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
Keywords :
Fourier transforms; medical signal processing; time-frequency analysis; Wigner-Ville distribution; biomedical signal processing; cross-term interference; integral kernel function; self spectrum window method; short time Fourier transform spectrum; time-frequency analysis; Autocorrelation; Biomedical engineering; Educational institutions; Fourier transforms; Frequency; Instruments; Interference suppression; Kernel; Pollution; Signal resolution; Computer simulation; frequency domain analysis; interference suppression; time domain analysis;
Conference_Titel :
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location :
Shanghai
Print_ISBN :
0-7803-8741-4
DOI :
10.1109/IEMBS.2005.1617021
