Smoothness Prior Approach for Spectral Smoothing and Baseline Correction

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

作者机构：School of Optoelectronics Beijing Institute of Technology Beijing 100081 China Beijing Institute of Space Mechanics & Electricity Beijing 100094 China 

出 版 物：《Journal of Beijing Institute of Technology》 (北京理工大学学报（英文版）)

年 卷 期：2017年第26卷第1期

页      面：121-128页

核心收录：

学科分类：0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 080902[工学-电路与系统] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

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

主　　题：smoothness priors low-pass filter second derivative spectral smoothing baselinecorrection 

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.