Patent ID: 9523635
Filing Date: 2016-12-20
CPC Classification: G01J,G01N,G06F

Claim Text:
1. A method of spectral searching, comprising: transforming spectroscopic data for an unknown sample to at least one vector of wavelet coefficients; comparing the vector of wavelet coefficients for the unknown sample with vectors of wavelet coefficients for a multitude of known samples; and identifying a closest match to the unknown sample based on the comparison of the vectors of wavelet coefficients for the unknown and known samples, wherein the transforming of the spectroscopic data for the unknown sample includes transforming the spectroscopic data to the vector of wavelet coefficients using a wavelet lifting scheme, the spectroscopic data for the unknown sample including a sequence of spectral intensity values, and wherein the transforming of the spectroscopic data for the unknown sample using the wavelet lifting scheme includes: wherein the first set of detail wavelet coefficients and the first set of approximation wavelet coefficients collectively constitute a first level of wavelet coefficients, the first level of wavelet coefficients constituting a first wavelet coefficient vector for the unknown sample.