惯性传感器随机序列的经验模态分解预处理

2011 International Conference on Multimedia and Signal Processing Pub Date : 2011-05-14 DOI:10.1109/CMSP.2011.139

Zhang Qiu-zhao, Zhang Shu-bi, Hou Dong-yang

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引用次数: 0

摘要

介绍了一种新的信号分析技术——经验模态分解(EMD)方法，用于去除非平稳随机序列的趋势项。用逆序列法检验了EMD方法的效果。实验表明，EMD方法不仅可以消除非平稳随机序列的趋势项，而且可以改善非平稳随机序列的正态性。

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Inertial Sensors Random Sequence Pretreatment Using Empirical Mode Decomposition Method

A new signal analysis technique -- empirical mode decomposition (EMD) method is introduced for removing the trend term of nonstationary random sequence. An inverse sequence method is used to check the effect of EMD method. The experiment indicates that the EMD method can not only eliminate the trend term of nonstationary random sequence, but also improve the normal natures of the nonstationary random sequence.

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2011 International Conference on Multimedia and Signal Processing

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