A Synthetical Algorithm for Automatic Phase Correction of NMR Spectra Based on Neural Network (NNAPC)

Chinese Journal of Magnetic Resonance ›› 2007, Vol. 24 ›› Issue (1): 43-51.

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A Synthetical Algorithm for Automatic Phase Correction of NMR Spectra Based on Neural Network (NNAPC)

HUANG Ying-ying; LI Peng; LIU Xiao-zheng; YANG Guang* 

(Shanghai Key Laboratory of Functional Magnetic Resonance Imaging (East China Normal University), Department of Physics, East China Normal University, Shanghai, 200062, China)

Received:2006-05-23 Revised:2006-06-14 Published:2007-03-05 Online:2009-12-05
Contact: Yang Guang

Abstract

Abstract: A synthetical algorithm for automatic phase correction of NMR spectra based on neural network (NNAPC) is proposed. 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. Statistical analysis demonstrated that the NNAPC algorithm is more accurate and stable than the existing phase correction algorithms referenced.

Key words: NMR, automatic phase correction, neural network, NNAPC

CLC Number:

O482.53

HUANG Ying-ying; LI Peng; LIU Xiao-zheng; YANG Guang* . A Synthetical Algorithm for Automatic Phase Correction of NMR Spectra Based on Neural Network (NNAPC)[J]. Chinese Journal of Magnetic Resonance, 2007, 24(1): 43-51.

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A Synthetical Algorithm for Automatic Phase Correction of NMR Spectra Based on Neural Network (NNAPC)

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