Taking into account the characteristics of the NMR spectrum or the resonance peak, the proposed algorithm uses an artificial neural network to choose the most appropriate algorithm to calculate the phase angles of a given peak.
Taking into account the characteristics of the NMR spectrum or the resonance peak, the proposed algorithm uses an artificial neural network to choose the most appropriate algorithm to calculate the phase angles of a given peak.
针对这一情况，本文在综合研究多种现有自动相位校正算法的基础上，提出了一种基于神经网络的，可以根据谱图的特征来选取最合适的算法进行自动相位校正的综合算法。