Denoising and Spike Removal from Raman Spectra using Double Density Dual-Tree Complex Wavelet Transform

被引：1
|
作者：
T. S. Sharan
Sh. Sharma
N. Sharma
机构：
[1] School of Biomedical Engineering at Indian Institute of Technology (BHU),
来源：
Journal of Applied Spectroscopy | 2021年 / 88卷
关键词：
Raman spectroscopy; spike removal; denoising; double density dual-tree complex wavelet transform; Savitzky–Golay smoothing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
We aim to show the effectiveness of the double density dual-tree complex wavelet transform to denoise the Raman signal. A comparative study is carried out of the double density dual-tree complex wavelet transform with the discrete wavelet transform, dual-tree complex wavelet transforms, and Savitzky–Golay smoothing method to show its capability and effectiveness. Results show that denoising based on the double density dual-tree complex wavelet transform can improve the quantitative and qualitative analysis of the Raman signal.
引用
收藏
页码：117 / 124
页数：7
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