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.

Abstract: A simple and practical image restoring device capable of improving the performance of image restoration. An image restoring device (100) is provided with a first restoration processing unit (160a) and estimates original image information from the degraded image information into which information unnecessary for the original image information is incorporated. A correlation calculating section (164) calculates the correlation value of the estimation error of when the state amount of a system at time n+1 including the original image information is estimated by information up to time n or the time n+1 with respect to the degraded image information of only the time n.

Abstract: Disclosed is a noise suppression device capable of better noise suppression by means of a simpler structure and with a lighter computational load. A noise suppression device (100) has a noise suppression processor (150) to estimate the required information only from the observed information, which is the required information corrupted by noise. A correlator (154) calculates the correlation of the estimation error when the state quantity, which contains the required information, of the system at time n+1 was estimated from the information until time n or time n+1 for the observed information at only time n.

Abstract: A simple and practical image restoring device capable of improving the performance of image restoration. An image restoring device (100) is provided with a first restoration processing unit (160a) and estimates original image information from the degraded image information into which information unnecessary for the original image information is incorporated. A correlation calculating section (164) calculates the correlation value of the estimation error of when the state amount of a system at time n+1 including the original image information is estimated by information up to time n or the time n+1 with respect to the degraded image information of only the time n.

Abstract: Disclosed is a noise suppression device capable of better noise suppression by means of a simpler structure and with a lighter computational load. A noise suppression device (100) has a noise suppression processor (150) to estimate the required information only from the observed information, which is the required information corrupted by noise. A correlator (154) calculates the correlation of the estimation error when the state quantity, which contains the required information, of the system at time n+1 was estimated from the information until time n or time n+1 for the observed information at only time n.