基于前向后向线性预测的光谱分辨率增强中的参数估计 总最小平方方法

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Updated: Jul 23, 2025

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
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ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis

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Yusheng Qin1,2, Xin Han1, Xiangxian Li1

  • 1Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China.

Applied spectroscopy
|July 14, 2023
PubMed
概括

一种新方法通过使用自回归 (AR) 建模来推断米歇尔森干扰信号来提高福里埃变换红外光谱仪 (FTIR) 的分辨率. 前向后向线性预测总最小平方 (FB-TLS) 方法有效地抑制噪声和虚假峰值.

关键词:
线性预测 线性预测在 TLS 中使用 TLS.这是一个干扰信号干扰信号.解决方案的增强解决方案的增强频谱分辨率的使用总的最小平方数.

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