Abstract: There is disclosed an NMR signal processing method for accurately estimating the intensities of p peaks of interest in an NMR spectrum by the use of a mathematical model that represents a time-domain, free induction decay (FID) signal obtained by an NMR measurement as a sum of q signal components. First, q parameters (each being a combination of a pole and a complex intensity) defining q signal components are estimated for each value of the estimation order q of the mathematical model while varying the value of the estimation order q (S34). At each value of the estimation order q, p parameters are selected from the q parameters in accordance with selection criteria (S42, S46). The selected p parameters are evaluated (S48). An optimal value of the estimation order is determined based on the evaluation values produced at the various values of the estimation order q, and p parameters corresponding to the optimal value of the estimation order is identified.

Abstract: There is disclosed an NMR signal processing method for accurately estimating the intensities of p peaks of interest in an NMR spectrum by the use of a mathematical model that represents a time-domain, free induction decay (FID) signal obtained by an NMR measurement as a sum of q signal components. First, q parameters (each being a combination of a pole and a complex intensity) defining q signal components are estimated for each value of the estimation order q of the mathematical model while varying the value of the estimation order q (S34). At each value of the estimation order q, p parameters are selected from the q parameters in accordance with selection criteria (S42, S46). The selected p parameters are evaluated (S48). An optimal value of the estimation order is determined based on the evaluation values produced at the various values of the estimation order q, and p parameters corresponding to the optimal value of the estimation order is identified.