Self-weighted correlation coefficients and their application to measure spectral similarity.

@article{Griffiths2009SelfweightedCC,
  title={Self-weighted correlation coefficients and their application to measure spectral similarity.},
  author={Peter R. Griffiths and Limin Shao},
  journal={Applied spectroscopy},
  year={2009},
  volume={63 8},
  pages={916-9}
}
A technique for spectral searching with noisy data is described that improves the performance over contemporary approaches. Instead of simply calculating the correlation coefficient between the spectrum of an unknown and a series of reference spectra, greater weight is given to the more intense features in the reference spectra. The weight array, w, is given by |r|/{1 + d}, where the vector r represents the reference spectrum and the difference vector, d, contains the difference between the… CONTINUE READING

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