维格纳-威利分布中的自谱窗法

Self spectrum window method in wigner-ville distribution.

作者信息

Liu Zhongguo, Liu Changchun, Liu Boqiang, Lv Yangsheng, Lei Yinsheng, Yu Mengsun

机构信息

School of Control Science and Engineering, Shandong University, Jinan, 250061, China.

出版信息

Conf Proc IEEE Eng Med Biol Soc. 2005;2005:2675-8. doi: 10.1109/IEMBS.2005.1617021.

DOI:10.1109/IEMBS.2005.1617021

PMID:17282790

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.

摘要

维格纳-威利分布（WVD）是生物医学信号处理中一种重要的时频分析类型。WVD中的交叉项干扰对其应用有不利影响。在本研究中，基于积分核函数中的交叉项和自WVD项正交这一事实，提出了自谱窗（SSW）方法来抑制交叉项干扰。利用自谱窗（SSW）算法，将实自WVD函数作为模板与积分核函数进行互相关，并将信号的短时傅里叶变换（STFT）谱作为窗函数在时频平面上处理WVD。通过计算机仿真验证了SSW方法，分析结果良好。获得了令人满意的时频分布。