Application of Linear Prediction and Rapid Acquisition to Nuclear Magnetic Resonance
Keywords: NMR, linear prediction, driven-equilibrium Fourier transfonn, singular value decomposition
AbstractA method for the acquisition of 1-dimensional nuclear magnetic resonance (NMR) data, which obtains· signals more rapidly than the conventional method is presented. However, because the data are truncated, data processing by Fourier transformation is overcome by alternative spectral estimation methods. Linear prediction (LP) is used to reconstruct the spectrum from the incomplete time-domain magnetic resonance data. A pulse sequence modified from the driven-equilibrium Fourier transform (DEFT) implements truncated acquisition with forced return to equilibrium. This combination of truncated acquisition and LP processing is a novel way of acquiring and processing NMR data. The technique is demonstrated using a 31P NMR acquisition where the conventional procedure required 17 h whereas the proposed method took only 45 min.
How to Cite
Chainani, E. T., Dayrit, F. M., & Sison, L. G. (1). Application of Linear Prediction and Rapid Acquisition to Nuclear Magnetic Resonance. KIMIKA, 17(2), 57-63. https://doi.org/10.26534/kimika.v17i2.57-63
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