Constrained high-order statistical blind deconvolution of spectral data  

作　　者：袁景和 胡自强 王桂英 徐至展 

机构地区：[1]Institute of Science and Technology for Opto-Electron Information, Yantai University, Yantai 264005 [2]Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai 201800

出　　处：《Chinese Optics Letters》2005年第9期552-555,共4页中国光学快报（英文版）

摘　　要：A constrained high-order statistical algorithm is proposed to blindly deconvolute the measured spectral data and estimate the response function of the instruments simultaneously. In this algorithm, no priorknowledge is necessary except a proper length of the unit-impulse response. This length can be easily set to be the width of the narrowest spectral line by observing the measured data. The feasibility of this method has been demonstrated exnerimentally by the measured Raman and absorntion snectral data.A constrained high-order statistical algorithm is proposed to blindly deconvolute the measured spectral data and estimate the response function of the instruments simultaneously. In this algorithm, no priorknowledge is necessary except a proper length of the unit-impulse response. This length can be easily set to be the width of the narrowest spectral line by observing the measured data. The feasibility of this method has been demonstrated exnerimentally by the measured Raman and absorntion snectral data.

关 键 词：Impulse response Mathematical techniques Signal to noise ratio SPECTROPHOTOMETERS Statistical methods 

分 类 号：O433.4[机械工程—光学工程]