心音的时频分析使用窗和平滑窗Wigner-ville分布

S. Daliman, A. Sha'ameri
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引用次数: 8

摘要

心音和杂音是时变信号,最好使用时频分析来分析。采用加窗Wigner-Ville分布(WWVD)和光滑加窗Wigner-Ville分布(SWWVD)得到信号的时频表示(TFR)。通过确定WWVD和SWWVD的参数设置,消除了交叉项,提高了TFR。TFR的精度取决于主瓣宽度和信干涉比。结果表明,使用SWWVD可以获得最精确的TFR。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time-frequency analysis of heart sounds using windowed and smooth windowed Wigner-ville distribution
Heart sounds and murmurs are time-varying signals that would best be analyzed using time-frequency analysis. Windowed Wigner-Ville distribution (WWVD) and smooth windowed Wigner-Ville distribution (SWWVD) are used to obtain the time-frequency representation (TFR) of the signal. Determination of parameter setting of WWVD and SWWVD eliminates the cross-terms and improve TFR. The accuracy of TFR is determined based on the mainlobe width and signal-to-interference ratio. It is found that the most accurate TFR can be achieved using SWWVD.
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