Asymmetric least‐squares baseline algorithm with peak screening for automatic processing of the Raman spectra

2020 ◽  
Vol 51 (10) ◽  
pp. 2061-2065
Author(s):  
Vitaly I. Korepanov
Keyword(s):  
Least Squares ◽  
Raman Spectra ◽  
Automatic Processing ◽  
Asymmetric Least Squares ◽  
Baseline Algorithm

Baseline correction for Raman spectra using an improved asymmetric least squares method

2014 ◽  
Vol 6 (12) ◽  
pp. 4402-4407 ◽  
Author(s):  
Shixuan He ◽  
Wei Zhang ◽  
Lijuan Liu ◽  
Yu Huang ◽  
Jiming He ◽  
...  
Keyword(s):  
Least Squares ◽  
Raman Spectra ◽  
Least Squares Method ◽  
Baseline Correction ◽  
Asymmetric Least Squares ◽  
Raman Spectral

The proposed IAsLS method is successfully applied to practical Raman spectral baseline correction.

Baseline Correction for Raman Spectra Based on Locally Symmetric Reweighted Penalized Least Squares

2018 ◽  
Vol 45 (12) ◽  
pp. 1211001 ◽  
Author(s):  
赵恒 Zhao Heng ◽  
陈娱欣 Chen Yuxin ◽  
续小丁 Xu Xiaoding ◽  
胡波 Hu Bo
Keyword(s):  
Least Squares ◽  
Raman Spectra ◽  
Baseline Correction ◽  
Penalized Least Squares

Asymmetric Least Squares Estimation and Testing

Econometrica ◽  
1987 ◽  
Vol 55 (4) ◽  
pp. 819 ◽  
Author(s):  
Whitney K. Newey ◽  
James L. Powell
Keyword(s):  
Least Squares ◽  
Least Squares Estimation ◽  
Asymmetric Least Squares

Research into the Model of GNSS Leveling Polynomial Surface Fitting Based on MATLAB

2011 ◽  
Vol 90-93 ◽  
pp. 2907-2912
Author(s):  
Yu Sheng Gong ◽  
Qian Han ◽  
Li Ping Zhang
Keyword(s):  
Least Squares ◽  
Robust Estimation ◽  
Automatic Processing ◽  
Surface Fitting ◽  
Normal Height ◽  
Distortion Model ◽  
Whole Process ◽  
Gross Error ◽  
Geodetic Height ◽  
Polynomial Surface

To make full use of geodetic height results measured by GNSS and improve the accuracy that GNSS geodetic height convert to normal height, method of polynomial surface fitting has been selected in this article to research into fitting of the elevation. In the first place, for least squares estimation do not have the ability of resisting gross error, robust estimation is introduced to data preprocessing, which has solve the problem of distortion model effectively and then combines with specific engineering to make comparison and to analyze accuracy of polynomial surface fitting data of different orders. MATLAB has been used in programming design in the whole process, which has realized automatic processing of data.

Sign in / Sign up

Export Citation Format

Share Document