| 摘要 |
PROBLEM TO BE SOLVED: To provide a spectrum of a high resolution using a autoregressive model from observation data of a small S/N ratio. SOLUTION: The observation data of water and the observation data of a metabolite are obtained, and the phase of the observation data of the metabolite is correlated. Then, the observation data of water is transformed by the fast Fourier transformation to obtain the spectrum. For such a spectrum, the half-amplitude value is measured. A noise-removing filter function which is applied to the observation data is determined from the half-amplitude value. The noise-removing filter function is applied to the observation data of the metabolite, and wave-form data is obtained. Then, the obtained wave-form data is transformed by the fast Fourier transformation, and the S/N ratio of the obtained spectrum is measured. Then, a term number (model degree) for a polynomial of the autoregressive model is determined from the S/N ratio. Regarding the obtained wave-form data, the spectrum wherein a frequency is made a variable can be obtained using the autoregressive model, by using the polynomial comprising the determined term number.
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