Quantitative Analysis in the Fourier Domain - The Optimum Vectors

Chris W. Brown; Steven M. Donahue; Robert J. Obremski

doi:10.1117/12.970777

20 December 1985 Quantitative Analysis in the Fourier Domain - The Optimum Vectors

Chris W. Brown, Steven M. Donahue, Robert J. Obremski

Proceedings Volume 0553, Fourier and Computerized Infrared Spectroscopy; (1985) https://doi.org/10.1117/12.970777
Event: 1985 International Conference on Fourier and Computerized Infrared Spectroscopy, 1985, Ottawa, Canada

Abstract

Multicomponent analysis of optical spectra can be optimized by processing the spectral data in the Fourier domain. The transform makes it possible to take maximum advantage of the informational content of the spectra while reducing the data storage requirements and processing time. The transformed spectra are stored and processed as vectors. We have explored methods for selecting the "best" set of vector representations. During this investigation, we found that any number of chemical interferences can be accounted for in the vector representations without knowing the types of concentrations of these components. The methodology greatly expands the capabilities of multicomponent analyses as will be demonstrated on both infrared and uv-visible spectra.

Citation Download Citation

Chris W. Brown, Steven M. Donahue, and Robert J. Obremski "Quantitative Analysis in the Fourier Domain - The Optimum Vectors", Proc. SPIE 0553, Fourier and Computerized Infrared Spectroscopy, (20 December 1985); https://doi.org/10.1117/12.970777

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