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Techniques for Empirical Mode Decomposition (EMD)-Based Noise Estimation

机译:基于经验模式分解(EMD)的噪声估计技术

摘要

An Empirical Mode Decomposition (EMD)-based noise estimation process is disclosed herein that allows for blind estimations of noise power for a given signal under test. The EMD-based noise estimation process is non-parametric and adaptive to a signal, which allows the EMD-based noise estimation process to operate without necessarily having a priori knowledge about the received signal. Existing approaches to spectrum sensing such as Energy Detector (ED) and Maximum Eigenvalue Detector (MED), for example, may be modified to utilize a EMD-based noise estimation process consistent with the present disclosure to shift the same from semi-blind category to fully-blind category.
机译:本文公开了基于经验模式分解(EMD)的噪声估计过程,其允许针对被测给定信号的噪声功率的盲估计。基于EMD的噪声估计过程是非参数的,并且适应于信号,这使得基于EMD的噪声估计过程可以运行而不必具有关于接收信号的先验知识。例如,可以修改诸如能量检测器(ED)和最大特征值检测器(MED)之类的用于频谱感测的现有方法,以利用与本公开一致的基于EMD的噪声估计过程,以将其从半盲类别转移到全盲类别。

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