基于自适应系数调整的EMD去噪算法

2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus) Pub Date : 2019-01-01 DOI:10.1109/EICONRUS.2019.8657203

A. S. Voznesenskiy, D. Kaplun, S. Romanov, V. Gulvanskii, D. Klionskiy

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引用次数: 1

摘要

本文研究了基于EMD的噪声去噪算法，该算法根据噪声水平自适应调整系数。并与基于EMD、小波和维纳滤波的去噪算法进行了比较。对过滤质量进行了评价。采用复杂非平稳结构的合成信号作为初始数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Denoising Algorithm Based on EMD with Adaptive Adjustment of Coefficients

This paper deals with the denoising algorithm based on EMD with adaptive adjustment of the coefficients depending on the noise level. It is compared with the known denoising algorithms based on EMD, wavelets and Wiener filter. The evaluation of the filtration quality was performed. Synthetic signals of a complex non-stationary structure are used as initial data.

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来源期刊

2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus)

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