Claims Analysis
Total Claims: 14
Claim 1
Independent Claim
197 words
A method of analyzing spectral data from an analytical instrument including a spectrophotometer, a spectral detector receptive of spectra from the spectrophotometer, and a data station receptive of transmittance spectrum data points from the detector; the method comprising the steps of: operating the instrument so as to generate and store first and second sets of transmittance spectrum data points for selected frequencies over a selected spectral frequency range; establishing a set of weighting factors, each such factor being proportional to a sum of a first transmittance data point and a second transmittance data point for a selected frequency in the selected frequency range; transforming of the first and second transmittance points respectively to sets of first and second absorbance spectrum data points; converting at least one of the first and second sets of absorbance data points to a weighted data set by multiplying each data point in the at least one set by a corresponding weighting factor; generating a spectral comparison factor as a normalized sum of products for each selected frequency range, each product being formed of a weighting factor squared and corresponding first and second unweighted absorbance data points; and displaying the spectral comparison factor.
Claim 2
Independent Claim
197 words
A method of analyzing spectral data from an analytical instrument including a spectrophotometer, a spectral detector receptive of spectra from the spectrophotometer, and a data station receptive of transmittance spectrum data points from the detector; the method comprising the steps of: operating the instrument so as to generate and store first and second sets of transmittance spectrum data points for selected frequencies over a selected spectral frequency range; establishing a set of weighting factors, each such factor being proportional to a sum of a first transmittance data point and a second transmittance data point for a selected frequency in the selected frequency range; transforming of the first and second transmittance points respectively to sets of first and second absorbance spectrum data points; converting at least one of the first and second sets of absorbance data points to a weighted data set by multiplying each data point in the at least one set by a corresponding weighting factor; generating a spectral comparison factor as a normalized sum of products for each selected frequency range, each product being formed of a weighting factor squared and corresponding first and second unweighted absorbance data points; and displaying the spectral comparison factor.
Claim 3
Dependent Claim
22 words
The method according to claim 1 wherein the absorbance data points are generated as a logarithm of the corresponding transmittance data points.
Claim 4
Dependent Claim
28 words
The method according to claim 1 wherein each weighting factor is further proportional to a black body factor having a value according to the corresponding selected spectral frequency.
Claim 5
Dependent Claim
28 words
The method according to claim 1 wherein the weighting factors are equated to zero in a narrow band at a spectral frequency corresponding to carbon dioxide spectral absorption.
Claim 6
Dependent Claim
57 words
The method according to claim 1 wherein each of the spectra is formed of at least one spectral band with a typical band width corresponding to a characteristic periodicity, and the method further comprises the steps of, prior to the steps of converting and comparing, band pass filtering the first absorbance data points about the characteristic periodicity.
Claim 7
Dependent Claim
19 words
The method according to claim 5 wherein the step of filtering comprises convoluting the first and second absorbance spectra.
Claim 8
Dependent Claim
49 words
The method according to claim 6 wherein the step of convoluting comprises filter weighting each of a succession of selected absorbance data points of the first and second spectra with a one cycle triangular wave having the characteristic periodicity and a zero crossing substantially at each selected data point.
Claim 9
Dependent Claim
48 words
The method according to claim 7 wherein the triangular wave consists of a series of filter weights, and the first and second filtered data sets consist of output data points each computed as a filter weighted sum of products of neighboring spectral data points and corresponding filter weights.
Claim 10
Dependent Claim
62 words
The method according to claim 8 wherein the first and second filtered data sets consist of output data points X i ' each computed by a formula: SUM 0=-X.sub.i-2n-1 +2X.sub.i-n-1 -2X.sub.i+n-1 +X.sub.i+2n-1 SUM 1'=SUM 1+SUM 0 Xi'=SUM 2'=SUM 2+SUM 1 where: X=data input point i=index of output (filtered) point to be generated n=quarter wave length of filter (4 in present example) SUM=summation
Claim 11
Dependent Claim
6 words
1,2=computations for prior point 1',2'=current computations.
Claim 12
Dependent Claim
6 words
1,2=computations for prior point 1',2'=current computations.
Claim 13
Independent Claim
255 words
A method of analyzing spectral data from an analytical instrument including a spectrophotometer, a spectral detector receptive of spectra from the spectrophotometer, and a data station receptive of spectral signals comprising transmittance spectrum data points from the detector, each of the spectra is formed of at least one spectral band with a typical bandwidth corresponding to a characteristic periodicity; the method comprising the steps of: operating the instrument so as to generate and store first and second sets of transmittance spectrum data points for selected frequencies over a selected spectral frequency range; establishing a set of weighting factors, each such factor being proportional to a square of a sum of a first transmittance data point and a second transmittance data point for a selected frequency in the selected freuqency range, and being further proportional to a black body factor having a value according to the corresponding selected spectral frequency; generating first and second absorbance spectrum data points for each as a logarithm of the corresponding first and second transmittance data points; filter weighting each of a succession of selected absorbance data points of the first and second spectra with a one cycle triangular wave having the characteristic periodicity and a zero crossing substantially at each selected data point, thereby generating respective first and second filtered data points; generating a spectral comparison factor as a normalized sum of products for each selected frequency, each product being formed of a weighting factor squared and corresponding first and second filtered data points; and displaying the spectral comparison factor.
Claim 14
Independent Claim
255 words
A method of analyzing spectral data from an analytical instrument including a spectrophotometer, a spectral detector receptive of spectra from the spectrophotometer, and a data station receptive of spectral signals comprising transmittance spectrum data points from the detector, each of the spectra is formed of at least one spectral band with a typical bandwidth corresponding to a characteristic periodicity; the method comprising the steps of: operating the instrument so as to generate and store first and second sets of transmittance spectrum data points for selected frequencies over a selected spectral frequency range; establishing a set of weighting factors, each such factor being proportional to a square of a sum of a first transmittance data point and a second transmittance data point for a selected frequency in the selected freuqency range, and being further proportional to a black body factor having a value according to the corresponding selected spectral frequency; generating first and second absorbance spectrum data points for each as a logarithm of the corresponding first and second transmittance data points; filter weighting each of a succession of selected absorbance data points of the first and second spectra with a one cycle triangular wave having the characteristic periodicity and a zero crossing substantially at each selected data point, thereby generating respective first and second filtered data points; generating a spectral comparison factor as a normalized sum of products for each selected frequency, each product being formed of a weighting factor squared and corresponding first and second filtered data points; and displaying the spectral comparison factor.