Objective Criteria for Absorbance Subtraction
- 1 May 1984
- journal article
- research article
- Published by SAGE Publications in Applied Spectroscopy
- Vol. 38 (3) , 334-337
- https://doi.org/10.1366/0003702844555610
Abstract
Using an iterative linear least-squares algorithm it is possible to selectively subtract known spectral components from a mixture in an automated procedure. The proposed approach circumvents the subjective decisions encountered with interactive real-time graphics programs and enables simultaneous removal and/or optimization of scaling coefficients of multiple known pure components in order to yield the difference spectrum.Keywords
This publication has 14 references indexed in Scilit:
- Factor analysis for separation of pure component spectra from mixture spectraAnalytical Chemistry, 1983
- Noise Reduction via Factor Analysis in FT-IR SpectraApplied Spectroscopy, 1982
- The Nature of Apodization in Fourier Transform SpectroscopyApplied Spectroscopy, 1981
- Improved Sensitivity of Infrared Spectroscopy by the Application of Least Squares MethodsApplied Spectroscopy, 1980
- Factor Analysis Applied to Fourier Transform Infrared SpectraApplied Spectroscopy, 1979
- Resolution and instrument line shape effects on spectral compensation with Fourier transform infrared spectrometersAnalytical Chemistry, 1978
- Least-Squares Curve-Fitting of Fourier Transform Infrared Spectra with Applications to Polymer SystemsApplied Spectroscopy, 1977
- Measurement of Highly Nonuniform Samples by Fourier Transform Infrared SpectroscopyApplied Spectroscopy, 1977
- Wavenumber Scale Shift in Fourier Transform Infrared Spectrometers Due to VignettingApplied Spectroscopy, 1976
- Errors in absorbance measurements in infrared Fourier transform spectrometry because of limited instrument resolutionAnalytical Chemistry, 1975