Abstract
Software for the processing and analysis of multi-dimensional data will be described. A variety of tools has been implemented to improve the processing of multi-dimensional data including the ability to extrapolate the time domain data with linear prediction. Predicting several additional time domain points can significantly improve the data of multi-dimensional NMR experiments where one of the dimensions is undersampled due to accumulation time constraints. This data extrapolation allows a more favorable windowing of the data before Fourier transformation. It will be shown that when used conservatively the augmented data are very reliable and that improved resolution and sensitivity are obtained in the frequency domain data.
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