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Method Of And System For Blind Extraction Of More Than Two Pure Components Out Of Spectroscopic Or Spectrometric Measurements Of Only Two Mixtures By Means Of Sparse Component Analysis
Method Of And System For Blind Extraction Of More Than Two Pure Components Out Of Spectroscopic Or Spectrometric Measurements Of Only Two Mixtures By Means Of Sparse Component Analysis
A method, system, and computer program product for identification of more than two pure components from two mixtures using sparse component analysis. Spectroscopic data for two mixtures X are analyzed in a recording domain or in a first new representation domain by using linear transform T1, wherein pure components in the first new representation domain are sparser than in the recording domain. The number of pure components and mixing matrix are estimated by means of a data clustering algorithm. The pure components are estimated by means of linear programming, convex programming with quadratic constraint (l2-norm based constraint) or quadratic programming method with l1-norm based constraint. The estimated pure components are ranked using negentropy based criterion.
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