Baseline correction method for Raman spectra based on piecewise polynomial fitting

2018 ◽  
Author(s):  
Guo Xia ◽  
Haibing Hu ◽  
Jing Bai ◽  
Wenda Zhang ◽  
Yan Ma
Keyword(s):  
Raman Spectra ◽  
Correction Method ◽  
Baseline Correction ◽  
Piecewise Polynomial ◽  
Polynomial Fitting

Infrared Spectrum Baseline Correction Method Based on Improved Iterative Polynomial Fitting

2020 ◽  
Vol 57 (3) ◽  
pp. 033001
Author(s):  
宁志强 Ning Zhiqiang ◽  
刘家祥 Liu Jiaxiang ◽  
吴越 Wu Yue ◽  
陶孟琪 Tao Mengqi ◽  
方勇华 Fang Yonghua
Keyword(s):  
Infrared Spectrum ◽  
Correction Method ◽  
Baseline Correction ◽  
Polynomial Fitting

scholarly journals Improved Baseline Correction Method Based on Polynomial Fitting for Raman Spectroscopy

2018 ◽  
Vol 8 (4) ◽  
pp. 332-340 ◽  
Author(s):  
Haibing Hu ◽  
Jing Bai ◽  
Guo Xia ◽  
Wenda Zhang ◽  
Yan Ma
Keyword(s):  
Raman Spectroscopy ◽  
Correction Method ◽  
Baseline Correction ◽  
Polynomial Fitting

Baseline Correction Method for Raman Spectra Based on Generalized Whittaker Smoother

2015 ◽  
Vol 42 (9) ◽  
pp. 0915003 ◽  
Author(s):  
杨桂燕 Yang Guiyan ◽  
李路 Li Lu ◽  
陈和 Chen He ◽  
陈思颖 Chen Siying ◽  
张寅超 Zhang Yinchao ◽  
...  
Keyword(s):  
Raman Spectra ◽  
Correction Method ◽  
Baseline Correction ◽  
Whittaker Smoother

An Automated Baseline Correction Method Based on Iterative Morphological Operations

2018 ◽  
Vol 72 (5) ◽  
pp. 731-739 ◽  
Author(s):  
Yunliang Chen ◽  
Liankui Dai
Keyword(s):  
Raman Spectra ◽  
State Of The Art ◽  
Simulated Data ◽  
Correction Method ◽  
Baseline Correction ◽  
Morphological Operations ◽  
Baseline Drift ◽  
Crucial Step ◽  
Structuring Element ◽  
Spectral Peaks

Raman spectra usually suffer from baseline drift caused by fluorescence or other reasons. Therefore, baseline correction is a necessary and crucial step that must be performed before subsequent processing and analysis of Raman spectra. An automated baseline correction method based on iterative morphological operations is proposed in this work. The method can adaptively determine the structuring element first and then gradually remove the spectral peaks during iteration to get an estimated baseline. Experiments on simulated data and real-world Raman data show that the proposed method is accurate, fast, and flexible for handling different kinds of baselines in various practical situations. The comparison of the proposed method with some state-of-the-art baseline correction methods demonstrates its advantages over the existing methods in terms of accuracy, adaptability, and flexibility. Although only Raman spectra are investigated in this paper, the proposed method is hopefully to be used for the baseline correction of other analytical instrumental signals, such as IR spectra and chromatograms.

scholarly journals A newly identified calculation discrepancy of the Sunset semi-continuous carbon analyzer

2014 ◽  
Vol 7 (7) ◽  
pp. 1969-1977 ◽  
Author(s):  
G. J. Zheng ◽  
Y. Cheng ◽  
K. B. He ◽  
F. K. Duan ◽  
Y. L. Ma
Keyword(s):  
Occupational Safety ◽  
Single Point ◽  
Correction Method ◽  
Total Carbon ◽  
Carbonaceous Aerosol ◽  
Optical Data ◽  
Baseline Correction ◽  
Safety And Health ◽  
Corrected Data ◽  
Carbon Load

Abstract. The Sunset semi-continuous carbon analyzer (SCCA) is an instrument widely used for carbonaceous aerosol measurement. Despite previous validation work, in this study we identified a new type of SCCA calculation discrepancy caused by the default multipoint baseline correction method. When exceeding a certain threshold carbon load, multipoint correction could cause significant total carbon (TC) underestimation. This calculation discrepancy was characterized for both sucrose and ambient samples, with two protocols based on IMPROVE (Interagency Monitoring of PROtected Visual Environments) (i.e., IMPshort and IMPlong) and one NIOSH (National Institute for Occupational Safety and Health)-like protocol (rtNIOSH). For ambient samples, the IMPshort, IMPlong and rtNIOSH protocol underestimated 22, 36 and 12% of TC, respectively, with the corresponding threshold being ~ 0, 20 and 25 μgC. For sucrose, however, such discrepancy was observed only with the IMPshort protocol, indicating the need of more refractory SCCA calibration substance. Although the calculation discrepancy could be largely reduced by the single-point baseline correction method, the instrumental blanks of single-point method were higher. The correction method proposed was to use multipoint-corrected data when below the determined threshold, and use single-point results when beyond that threshold. The effectiveness of this correction method was supported by correlation with optical data.

A new automatic baseline correction method based on iterative method

2012 ◽  
Vol 218 ◽  
pp. 35-43 ◽  
Author(s):  
Qingjia Bao ◽  
Jiwen Feng ◽  
Fang Chen ◽  
Wenping Mao ◽  
Zao Liu ◽  
...  
Keyword(s):  
Iterative Method ◽  
Correction Method ◽  
Baseline Correction

scholarly journals Baseline correction algorithm for Raman spectra based on median filtering and un-uniform B-spline

2020 ◽  
Vol 69 (20) ◽  
pp. 200701
Author(s):  
Xin Wang ◽  
Zhe-Ming Kang ◽  
Long Liu ◽  
Xian-Guang Fan
Keyword(s):  
Raman Spectra ◽  
Baseline Correction ◽  
Median Filtering ◽  
Correction Algorithm ◽  
B Spline

scholarly journals Piecewise Polynomial Fitting with Trend Item Removal and Its Application in a Cab Vibration Test

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Wu Ren ◽  
Qiongqiong Ren ◽  
Lin Han ◽  
Ying Liu ◽  
Bo Peng
Keyword(s):  
Integration Method ◽  
Vibration Signal ◽  
Vibration Test ◽  
Measured Signal ◽  
Direct Integration ◽  
Piecewise Polynomial ◽  
Modal Parameter ◽  
Polynomial Fitting ◽  
Special Equipment ◽  
Direct Integration Method

The trend item of a long-term vibration signal is difficult to remove. This paper proposes a piecewise integration method to remove trend items. Examples of direct integration without trend item removal, global integration after piecewise polynomial fitting with trend item removal, and direct integration after piecewise polynomial fitting with trend item removal were simulated. The results showed that direct integration of the fitted piecewise polynomial provided greater acceleration and displacement precision than the other two integration methods. A vibration test was then performed on a special equipment cab. The results indicated that direct integration by piecewise polynomial fitting with trend item removal was highly consistent with the measured signal data. However, the direct integration method without trend item removal resulted in signal distortion. The proposed method can help with frequency domain analysis of vibration signals and modal parameter identification for such equipment.

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