双小波非凸稀疏正则化去噪算法研究

马敏; 王涛

doi:10.3969/j.issn.1000-1158.2021.01.14

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计量学报 ›› 2021, Vol. 42 ›› Issue (1) : 85-90. DOI: 10.3969/j.issn.1000-1158.2021.01.14

无线电、时间频率计量

双小波非凸稀疏正则化去噪算法研究

马敏,王涛

作者信息 +

Research on Double Wavelet Nonconvex Sparse Regularization Denoising Algorithm

MA Min,WANG Tao

Author information +

文章历史 +

摘要

针对航空发动机ECT滑油监测数据在采集传输过程中易受噪声干扰而影响数据有效特征提取的问题,提出了一种双小波去噪算法。在2个小波域下对数据进行分解,通过阈值函数进行滤波,利用小波系数的分布差异,迫使2个小波域下的去噪信号相同,反正切函数作为罚函数,得到更加稀疏的系数表达。实验结果表明:与传统的小波去噪方法相比,连续信号和阶跃信号的平均信噪比提高了约2.3dB和4.2dB,去噪效果得到优化。

Abstract

The aircraft engine ECT oil monitoring data is affected by various noises during the acquisition and transmission process, which affects the extraction of effective features of the data. A double wavelet denoising (DWAD) algorithm is proposed for this problem. In the two wavelet domains, the data is decomposed, filtered by the threshold function, and the difference of the wavelet coefficient distribution is used to force the denoising signals in the two wavelet domains to be the same. The inverse tangent function is used as a penalty function to obtain a more sparse coefficient expression. The experimental results show that compared with the traditional wavelet denoising method, the average signal-to-noise ratio of continuous signal and step signal is improved by 2.3dB and 4.2dB, the denoising effect is optimized.

导出引用

马敏,王涛. 双小波非凸稀疏正则化去噪算法研究[J]. 计量学报. 2021, 42(1): 85-90 https://doi.org/10.3969/j.issn.1000-1158.2021.01.14

MA Min,WANG Tao. Research on Double Wavelet Nonconvex Sparse Regularization Denoising Algorithm[J]. Acta Metrologica Sinica. 2021, 42(1): 85-90 https://doi.org/10.3969/j.issn.1000-1158.2021.01.14

中图分类号： TB973

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