Raman spectroscopy de-noising based on EEMD combined with VS-LMS algorithm

Xiao Yu , Liang Xu , Jia-qing Mo , Xiao-yi Lü

Optoelectronics Letters ›› 2016, Vol. 12 ›› Issue (1) : 16 -19.

PDF
Optoelectronics Letters ›› 2016, Vol. 12 ›› Issue (1) : 16 -19. DOI: 10.1007/s11801-016-5200-9
Article

Raman spectroscopy de-noising based on EEMD combined with VS-LMS algorithm

Author information +
History +
PDF

Abstract

This paper proposes a novel de-noising algorithm based on ensemble empirical mode decomposition (EEMD) and the variable step size least mean square (VS-LMS) adaptive filter. The noise of the high frequency part of spectrum will be removed through EEMD, and then the VS-LMS algorithm is utilized for overall de-noising. The EEMD combined with VS-LMS algorithm can not only preserve the detail and envelope of the effective signal, but also improve the system stability. When the method is used on pure R6G, the signal-to-noise ratio (SNR) of Raman spectrum is lower than 10 dB. The de-noising superiority of the proposed method in Raman spectrum can be verified by three evaluation standards of SNR, root mean square error (RMSE) and the correlation coefficient ρ.

Keywords

Raman Spectrum / Root Mean Square Error / Empirical Mode Decomposition / Little Mean Square / Adaptive Filter

Cite this article

Download citation ▾
Xiao Yu, Liang Xu, Jia-qing Mo, Xiao-yi Lü. Raman spectroscopy de-noising based on EEMD combined with VS-LMS algorithm. Optoelectronics Letters, 2016, 12(1): 16-19 DOI:10.1007/s11801-016-5200-9

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Gao Z.-l., Ye W.-l., Zheng C.-t., Wang Y.-d.. Optoelectronics Letters, 2014, 10: 299

[2]

Wang J.-f., Zhang Z.-x., Dai B.-z., Li C.-x., Insoo S. K.. Optoelectronics Letters, 2006, 2: 195

[3]

Yin H., Chen Z.-q., Yuan Z.-z.. Optoelectronics Letters, 2006, 2: 369

[4]

Chen Y., Wang K., Liu H.-l., Chen L.-j., He M.-l.. Journal of Optoelectronics·Laser, 2013, 24: 1053

[5]

Huang N. E., Shen Z., Long S. R., Wu M. C., Shih H. H., Zheng Q., Yen N.-C., Tung C. C., Liu H. H.. Royal Society of London Proceedings, 1998, 454: 903

[6]

Wu Z., Huang N. E.. Advances in Adaptive Data Analysis, 2009, 1: 1

[7]

Bismor D.. Variable Size LMS Algorithm with Fast Convergence Capabilities for Active Noise Control, 18th International Congress on Sound and Vibration, 2011, 1: 282

[8]

Zhang Y.-y., Li S.-m., Hu Y.-x., Jiang X.-x., Guo H.-d.. Journal of Vibration and Shock, 2013, 32: 61

[9]

Ma G.-d., Yan S.-t., He C.-z., Yang C.. Electronic Design Engineering, 2014, 22: 43

[10]

Roberto C.. Modern Digital Signal Processing, 2003, CL-Engineering, America

AI Summary AI Mindmap
PDF

143

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/