高斯白噪声本征模态函数的多尺度过零统计

S. Baykut, Tayfun Akgül
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引用次数: 10

摘要

本文研究了高斯白噪声本征模态函数的过零间隔和过零幅度(连续两次过零之间的时间间隔和极值绝对值)的统计特性。利用经验模态分解方法提取固有模态函数。进行了大量的仿真,得到了过零间隔和过零幅值的概率分布函数。最后给出了仿真结果。这些发现对于确定imf的统计显著性具有重要意义。这些只有白噪声的情况统计特性可用于信号检测和/或信号/噪声分离,并可实现有效的降噪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiscale zero-crossing statistics of intrinsic mode functions for white Gaussian noise
In this paper, the statistical characteristics of zero-crossing intervals and zero-crossing amplitudes (the time interval and the absolute value of extrema between two successive zero-crossings) of intrinsic mode functions of white Gaussian noise are studied. Intrinsic mode functions are extracted by empirical mode decomposition method. Numerous simulations are conducted and the probability distribution functions of zero-crossing intervals and amplitudes are obtained. Simulation results are included. These findings are important to determine the statistical significance of IMFs. These white noise-only case statistical characteristics can be used for signal detection and/or signal/noise separation and an efficient noise reduction can be achieved.
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