 Similar reports available for purchase |  | |  |
|
 |
 |
 Physics and Astronomy Atomic and Molecular Physics and Spectroscopy |
 |
|
Near Infrared Reflectance Analysis by Gauss-Jordan Linear Algebra
Authors: D. E. Honigs; J. M. Freelin; G. M. Hieftje; INDIANA UNIV AT BLOOMINGTON DEPT OF CHEMISTRY |
| |
Abstract: Near-infrared reflectance analysis (NIRA) is an analytical technique that uses the near-infrared diffuse reflectance of a sample at several discrete wavelengths to predict the concentration of one or more of the chemical species in that sample. However, because near-infrared bands from solid samples are both abundant and broad, the reflectance at a given wavelength usually contains contributions from several sample components, requiring extensive calculations on overlapped bands. In the present study, these calculations have been performed using an approach similar to that employed in multi-component spectrophotometry, but with Gauss-Jordan linear algebra serving as the computational vehicle. Using this approach, correlations for percent protein in wheat flour and percent benzene in hydrocarbons have been obtained and are evaluated. The advantages of a linear-algebra approach over the common one employing stepwise regression are explored. (Author)
| Description: |
Interim technical rept. |
| Pages: |
33 |
| Report Date: |
10 FEB 1983 |
| Contract Number: |
N00014-76-C-0838 |
| Report Number: |
A787421 |
Report Unavailable |
| This title is unavailable from Storming Media. We do not know when it might be available, if at all. We list the report on our site for bibliographic completeness, to help our users know what other work has been performed in this field. Please note that as with all titles on this site, we do not have contact information for any of the authors. Nor can we give any suggestions on how one might obtain this report. |
|
|
|
|
|
|
| |
|
|
 |
|
 |
|
|
Keywords relating to this report:
Email This Abstract