Relevant modes selection method based on Spearman correlation coefficient for laser signal denoising using empirical mode decomposition

Yabo Duan, Chengtian Song*

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

33 引用 (Scopus)

摘要

Empirical mode decomposition (EMD) is a recently proposed nonlinear and nonstationary laser signal denoising method. A noisy signal is broken down using EMD into oscillatory components that are called intrinsic mode functions (IMFs). Thresholding-based denoising and correlation-based partial reconstruction of IMFs are the two main research directions for EMD-based denoising. Similar to other decomposition-based denoising approaches, EMD-based denoising methods require a reliable threshold to determine which IMFs are noise components and which IMFs are noise-free components. In this work, we propose a new approach in which each IMF is first denoised using EMD interval thresholding (EMD-IT), and then a robust thresholding process based on Spearman correlation coefficient is used for relevant modes selection. The proposed method tackles the problem using a thresholding-based denoising approach coupled with partial reconstruction of the relevant IMFs. Other traditional denoising methods, including correlation-based EMD partial reconstruction (EMD-Correlation), discrete Fourier transform and wavelet-based methods, are investigated to provide a comparison with the proposed technique. Simulation and test results demonstrate the superior performance of the proposed method when compared with the other methods.

源语言英语
页(从-至)936-949
页数14
期刊Optical Review
23
6
DOI
出版状态已出版 - 1 12月 2016

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Duan, Y., & Song, C. (2016). Relevant modes selection method based on Spearman correlation coefficient for laser signal denoising using empirical mode decomposition. Optical Review, 23(6), 936-949. https://doi.org/10.1007/s10043-016-0275-x