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Detection of non-contact life-parameter signals by EMD

机译:通过EMD检测非接触式生命参数信号

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摘要

This article through the analysis of the radar non-contact life-parameter signals and gain its characteristics of extremely low frequency, low signal-to-noise ratio, and the easy submerged in strong clutter. This paper presents a threshold denoising algorithm based on empirical mode decomposition, the algorithm can adaptive efficient decomposition complex signal, and directly extract life-parameter signals don't need preprocessing, and can be very good reserves nonlinear and unsteady characteristics for the study in the chaotic noise background weak signal detection which is of great practical significance.
机译:本文通过分析雷达非接触式生命参数信号,并获得极低频率,低信噪比的特性,易浸入强杂波。本文提出了一种基于经验模式分解的阈值去噪算法,该算法可以自适应高效的分解复杂信号,直接提取生命参数信号不需要预处理,并且可以非常好的储存在研究中的非线性和非定常特性混沌噪声背景弱信号检测,具有很大的实际意义。

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