机构地区: 华南理工大学
出 处: 《微计算机信息》 2007年第02S期258-259,共2页
摘 要: 对高阶统计量方法应用于心音信号分析进行了研究。建立了心音信号的AR双谱模型,获得了心音的双谱幅度图,并采用模型参数作为特征参量对心音信号进行了二类模式识别。实验结果表明,高阶统计量在心音信号分析和处理中具有较大的应用潜力。 The application of higher-order statistics to analyzing PCG signal is studied. The AR bispectrum model is presented and is used to obtain the amplitude bispectral structure of PCG signal. The parameters of AR bispectrum model are proposed to form the features vector for the pattern classification of PCG signals. The results show that higher-order statistics is a useful method in PCG signal processing.
领 域: [自动化与计算机技术] [自动化与计算机技术]