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机构地区:[1]中国人民解放军海军总医院医务部,北京100048
出 处:《中国医疗设备》2014年第8期25-28,共4页China Medical Devices
摘 要:目的基于经验模态分解(EMD)的多尺度时域滤波特性,抑制生物雷达回波信号噪声。方法将经过预处理的雷达回波信号进行EMD分解,获取固有模态函数(IMF)分量;根据噪声与信号自相关函数的特性差异将IMF区分为有用信号占主导模态与噪声占主导模态两部分;然后用基于小波软阈值的去噪方法提取噪声占主导模态部分中的有用成分,与有用信号占主导模态部分的固有模态函数叠加,获取雷达回波信号中的生命信息。结果基于EMD的噪声抑制方法有效地去除了雷达回波信号中的高频噪声成分,提取出了有用信息。结论基于EMD的噪声抑制方法能为生命体目标的识别提供更多信息。Objective To suppress the noise of bioradar echo signal based on multiscale time-domain filtering features of empirical mode decomposition (EMD).Methods EMD decomposition of preprocessed bioradar echo signal was conducted to obtain intrinsic mode functions (IMFs), which were divided into one mode with noise as its dominant components and the other mode with useful signal as its dominant components according to the differences of the features of noise and signal autocorrelation functions. Then the useful information of MIFs in the mode with noise as its dominant components extracted through the denoising method based on wavelet soft threshold was superimposed on MIFs in the mode with useful signal as its dominant components to obtain the life information of bioradar echo signal.Results The high-frequency noise of bioradar echo signal has been ifltered and the useful information of bioradar echo signal has been extracted with the noise suppression method based on EMD. Conclusion The noise suppression method based on EMD can provide more useful information for the identify of organism objectives.
分 类 号:TN957.51[电子电信—信号与信息处理]
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