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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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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:本文通过对雷达非接触式生命参数信号的分析,得出其具有极低的频率,极低的信噪比以及容易淹没在强杂波中的特性。本文提出了一种基于经验模态分解的阈值去噪算法,该算法可以自适应地高效分解复杂信号,直接提取不需要预处理的生命参数信号,可以很好地保留非线性和非稳态特性,供研究中使用。混沌噪声背景下微弱信号的检测具有重要的现实意义。

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