
We present a new fast reconstruction method for 2D NMR spectrum by combining the compressed sensing (CS) method and the optimum interpolation approximation. We define a weighting function that has the same waveform of the 2D NMR spectrum reconstructed by the CS method. Then, the proposed method reconstructs the 2D NMR spectrum by the optimum interpolation approximation with the optimum interpolation functions derived from the weighting function. Experimental results show that the new method always reconstructs a more accurate 2D NMR spectrum for 101 different sampling patterns.
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 3 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
