Smoothness Prior Approach for Spectral Smoothing and Baseline Correction  

Smoothness Prior Approach for Spectral Smoothing and Baseline Correction

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作  者:Lu Li He Chen Siying Chen Yinchao Zhang Long Gao 

机构地区:[1]School of Optoelectronics, Beijing Institute of Technology, Beijing 100081, China [2]Beijing Institute of Space Mechanics & Electricity, Beijing 100094, China

出  处:《Journal of Beijing Institute of Technology》2017年第1期121-128,共8页北京理工大学学报(英文版)

基  金:Supported by the National Basic Research Program of China(61178072)

摘  要:Smoothness prior approach for spectral smoothing is investigated using Fourier frequency filter analysis.We show that the regularization parameter in penalized least squares could continuously control the bandwidth of low-pass filter.Besides,due to its property of interpolating the missing values automatically and smoothly,a spectral baseline correction algorithm based on the approach is proposed.This algorithm generally comprises spectral peak detection and baseline estimation.First,the spectral peak regions are detected and identified according to the second derivatives.Then,generalized smoothness prior approach combining identification information could estimate the baseline in peak regions.Results with both the simulated and real spectra show accurate baseline-corrected signals with this method.Smoothness prior approach for spectral smoothing is investigated using Fourier frequency filter analysis.We show that the regularization parameter in penalized least squares could continuously control the bandwidth of low-pass filter.Besides,due to its property of interpolating the missing values automatically and smoothly,a spectral baseline correction algorithm based on the approach is proposed.This algorithm generally comprises spectral peak detection and baseline estimation.First,the spectral peak regions are detected and identified according to the second derivatives.Then,generalized smoothness prior approach combining identification information could estimate the baseline in peak regions.Results with both the simulated and real spectra show accurate baseline-corrected signals with this method.

关 键 词:smoothness priors low-pass filter second derivative spectral smoothing baselinecorrection 

分 类 号:TN713[电子电信—电路与系统]

 

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