Spectrometer, measuring apparatus, and method of data processing
AssigneeJEOL Resonance Inc.
InventorsKiyonori Takegoshi, Yusuke Nishiyama
Life of this patent
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Abstract
A spectrometer has: Accumulation means to obtain a data set containing N data points, repeating the measurement M times to obtain M spectral data sets or time-domain data sets S1 (d1 to dN) to SM (d1 to dN), and accumulating the M spectral data sets or time-domain data sets. Means for creating sets S1 (dn) to SM (dn) of the data points contained in the M spectral data sets or time-domain data sets S1 (d1 to dN) to SM (d1 to dN). Correlation computing means for finding correlations. Computing means for finding either the product of an accumulated or anticipated spectrum.
Claims5
A measuring apparatus comprising:
- means for creating M data sets S1 (d1 to dN) to SM (d1 to dN) by repeating a measurement while varying at least one measurement parameter in M increments, each of the data sets having N data points;
- means for creating sets S1 (dn) to SM (dn) of the data points contained in the M data sets S1 (d1 to dN) to SM (d1 to dN) such that the data points of each one of the sets S1 (dn) to SM (dn) have the same ordinal number dn;
- correlation computing means for finding a correlation data set C(c1 to cN) indicating correlation strengths about the data points of the ordinal numbers by finding correlations between data representing variations forecasted in response to variations in the parameter regarding the sets S1(dn) to SM(dn);
- and
- computing means for finding a product of an accumulated or anticipated data set Sav(d1 to dN) which has N data points and which is obtained by an accumulation operation after correcting effects of variations in the parameter regarding the data sets S1(d1 to dN) to SM(d1 to dN) and the correlation data set C(c1 to cN) or a product of a separately measured data set So(d1 to dN) and the correlation data set C(c1 to cN).
A method of processing and displaying data indicative of the molecular structure of a specimen, comprising the steps of:
- performing a NMR measurement using at least one measurement parameter to obtain a data set containing N data points;
- repeating the measurement while varying the parameter in M increments to obtain M data sets S1 (d1 to dN) to SM (d1 to dN);
- creating sets S1 (dn) to SM (dn) of the data points contained in the M spectral data sets S1 (d1 to dN) to SM (d1 to dN) such that the data points of each one of the sets S1 (dn) to SM (dn) have the same ordinal number dn;
- finding, with a computer, corrections between data representing variations forecasted in response to variations in the parameter regarding the sets S1 (dn) to SM (dn) to thereby find a correlation data set C (c1 to cN) indicating correlation strengths about the data points of the ordinal numbers;
- and
- finding and displaying, with a computer, a product of an accumulated or anticipated data set Say (d1 to dN) which has N data points and which is obtained by an accumulation operation after correcting effects of variations in the parameter and the correlation data set C (c1 to cN) regarding the data sets S1 (d1 to dN) to SM (d1 to dN) or a product of a separately measured data set So (d1 to dN) and the correlation data set C (c1 to cN).
Dependencies are inferred from the claim text.