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Application of Wavelet Analysis Technique in the Signal De-noising of Life Sign Detection

机译:小波分析技术在生命体征检测信号降噪中的应用

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摘要

In life sign detection, radar echo signal is very weak and hard to extract. For solve this problem, weak life signal de-noising based on wavelet transform is studied. Through the studies of wavelet threshold de-noising method, the use of it in weak life signal de-noising in strong noise background, and the verification of simulation by Matlab, the results shows that wavelet threshold de-noising method can remove the noise signal from weak life signal effectively and be an effective de-noising and extraction method for weak life signal.
机译:在生命体征检测中,雷达回波信号非常微弱且难以提取。为了解决这个问题,研究了基于小波变换的微弱寿命信号降噪。通过对小波阈值去噪方法的研究,将其用于强噪声背景下的弱寿命信号去噪,并通过Matlab进行仿真验证,结果表明小波阈值去噪方法可以去除噪声信号。有效地从微弱的生命信号中提取信号,是微弱的生命信号的有效去噪和提取方法。

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