Cross-correlation technique is effective as an alternative to coding procedures for systematizing the manipulation of a large file of digital spectral data. As a search method, it is reliable in the recognition of matching spectra and yields a low incidence of false identifications. Precision is governed by the purity of specimens rather than instrumental factors. The utility of a file is augmented by treatment of the spectra as vectors that are normalized to unit length before storage. Such reduction minimizes computer time required for the determination of correlation coefficients; in addition, proportionality factors are eliminated and plots can be superposed on a concentration-independent basis to supplement correlation searches.
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
Login to access OSA Member Subscription