Application of PMF (Positive Matrix Factorization) method to daily wet deposition data in Japan
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چکیده
منابع مشابه
Application of non-negative matrix factorization to LC/MS data
Liquid Chromatography-Mass Spectrometry (LC/MS) provides large datasets from which one needs to extract the relevant information. Since these data are made of non-negative mixtures of non-negative mass spectra, nonnegative matrix factorization (NMF) is well suited for its processing, but it has barely been used in LC/MS. Also, these data are very difficult to deal with since they are usually co...
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Introduction Conclusions References
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Atmospheric Chemistry and Physics Discussions This discussion paper is/has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP if available. Abstract The goal of this research is to quantify diesel-and gasoline-powered motor vehicle emissions within the Mexico City Metropolitan Area (MCMA) using on-road measurements cap...
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This paper establishes that every positive-definite matrix can be written as a positive linear combination of outer products of integer-valued vectors whose entries are bounded by the geometric mean of the condition number and the dimension of the matrix.
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ژورنال
عنوان ژورنال: Proceedings of the Symposium on Global Environment
سال: 2007
ISSN: 1884-8419
DOI: 10.2208/proge.15.71