Investigation of the effects of resolution on the performance of classical least-squares (CLS) spectral interpretation programs when applied to volatile organic compounds (VOCs) of interest in remote sensing using open-air long-path Fourier transform infrared (FT-IR) spectrometry-Reference-Cited by-同舟云学术

Investigation of the effects of resolution on the performance of classical least-squares (CLS) spectral interpretation programs when applied to volatile organic compounds (VOCs) of interest in remote sensing using open-air long-path Fourier transform infrared (FT-IR) spectrometry

Published:1994-07 Issue:1-2 Volume:324 Page:19-28
ISSN:0022-2860
Container-title:Journal of Molecular Structure
language:en
Short-container-title:Journal of Molecular Structure

Author:

Marshall T.L.,Chaffin C.T.,Makepeace V.D.,Hoffman R.M.,Hammaker R.M.,Fateley W.G.,Saarinen P.,Kauppinen J.

Publisher

Elsevier BV

Subject

Inorganic Chemistry,Organic Chemistry,Spectroscopy,Analytical Chemistry

Reference6 articles.

1. FT-IR Remote Sensing of Industrial Atmospheres for Spatial Characterization

2. Multicomponent Analysis of FT-IR Spectra

3. Matrix representations and criteria for selecting analytical wavelengths for multicomponent spectroscopic analysis

4. Improved Sensitivity of Infrared Spectroscopy by the Application of Least Squares Methods

5. Iterative least-squares fit procedures for the identification of organic vapor mixtures by Fourier-transform infrared spectrophotometry

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