Odd Moments of the Cross-Correlation Function for Library Searching of Infrared Spectra
- 1 July 1987
- journal article
- research article
- Published by SAGE Publications in Applied Spectroscopy
- Vol. 41 (5) , 869-874
- https://doi.org/10.1366/0003702874448364
Abstract
The odd moments of the autocorrelation function are zero, and the moments of the cross-correlation function for an unknown spectrum with a library entry have been used here to select the best fits. The use of the first moment or average wavenumber in six separate spectral ranges requires only 12 values per library entry, and 24 values are required per library entry if twelve separate ranges are used. The odd moment methods were found to yield results for searches with both library and experimental spectra that were comparable to correlation coefficients in selection of the proper chemical class for the unknown spectra and in making of the proper identification.Keywords
This publication has 14 references indexed in Scilit:
- Optimal designs with information theory in least-squares problemsAnalytica Chimica Acta, 1984
- Quantitative evaluation of library searching performanceAnalytical Chemistry, 1983
- Search system for infrared and mass spectra by factor analysis and eigenvector projectionAnalytical Chemistry, 1983
- Width-Enhanced Binary Representation for Library Searching of Vapor Phase Infrared SpectraApplied Spectroscopy, 1983
- Identification and interpretation of spectra by logical comparison of spectral information sets: Part 2. Optimization of library search methodsAnalytica Chimica Acta, 1982
- Infrared Qualitative Analysis Automated by Use of an Electronic Computer and a Spectral Data File with Band Intensity InformationApplied Spectroscopy, 1982
- The library search in analytical chemistryAnalytical and Bioanalytical Chemistry, 1982
- Compression of an Infrared Spectral Library by Karhunen-Loeve TransformationApplied Spectroscopy, 1982
- Fourier Encoded Data Searching of Infrared Spectra (FEDS/IRS)Applied Spectroscopy, 1981
- Computer identification of infrared spectra by correlation-based file searchingAnalytica Chimica Acta, 1978