对于拉曼光谱脱离的变化模式分解.
Xihui Bian1,2, Zitong Shi1, Yingjie Shao1
1State Key Laboratory of Separation Membranes and Membrane Processes, School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China.
Molecules (Basel, Switzerland)
|September 9, 2023
概括
变化模式分解 (VMD) 提供了一种改进的方法来消除拉曼光谱的噪声,在保留光谱信息和信号噪声比率方面优于实证模式分解 (EMD) 和离散波量变换 (DWT) 等传统技术.
科学领域:
- 化学 化学 化学
- 频谱学是一种光谱学.
- 信号处理 信号处理
背景情况:
- 拉曼光谱是一种有价值的化学分析工具,但噪音往往阻碍了准确的解释.
- 有效的无色化对于可靠的拉曼光谱分析至关重要.
研究的目的:
- 为拉曼光谱引入和评估一种使用变化模式分解 (VMD) 的新型光谱无色化方法.
- 为了比较VMD的性能与实证模式分解 (EMD),萨维茨基-戈莱 (SG) 平滑和离散波形变换 (DWT) 的性能.
主要方法:
- 拟议的方法使用VMD将拉曼光谱分解为内在模式.
- 识别和删除高频噪声模式.
- 剩余的模式被重建,以获得无光谱.
- 使用人工信号和无机材料光谱 (MnCo ISAs/CN,Fe-NCNT) 评估性能.
主要成果:
- 与EMD相比,VMD有效地减少了模式混合和终点效应.
- 基于VMD的无声化产生了比EMD,SG和DWT更好的可视化和信号噪声比率 (SNR).
- 虽然在所有方法中都会发生一些信息丢失,但VMD可以最大限度地减少对小而尖的峰值的数据丢失.
结论:
- 变化模式分解为消除拉曼光谱提供了一个有希望的替代方案.
- VMD在降低噪音方面提供了优势,同时保留了基本的光谱特征.
- 该方法显示了提高拉曼光谱分析的巨大潜力.
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