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Constrained high-order statistical blind deconvolution of spectral data 被引量:1

Constrained high-order statistical blind deconvolution of spectral data
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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.
出处 《Chinese Optics Letters》 SCIE EI CAS CSCD 2005年第9期552-555,共4页 中国光学快报(英文版)
关键词 Impulse response Mathematical techniques Signal to noise ratio SPECTROPHOTOMETERS Statistical methods Impulse response Mathematical techniques Signal to noise ratio Spectrophotometers Statistical methods
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同被引文献9

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