한국경영과학회:학술대회논문집 (Proceedings of the Korean Operations and Management Science Society Conference)
- 대한산업공학회/한국경영과학회 2006년도 춘계공동학술대회 논문집
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- Pages.1066-1070
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- 2006
독립성분분석을 이용한 혼합물내의 순수물질 구성비 추정
Estimation of Pure Component Fractions in a Mixture Using Independent Component Analysis
- 발행 : 2006.05.01
초록
Independent component analysis (ICA) is a statistical method for linearly transforming observed high-dimensional multivariate data into several statistically independent components. ICA has gained wide-spread attention in a variety of fields including spectrum application. We focus on the application of ICA for separating independent sources from a set of mixtures and estimating their fractions in a mixture. The proposed method of estimating fractions is based on the regression model subject to the non-negativity constraint on coefficients. Simulation experiments are performed to demonstrate the performance of the proposed approach.
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