Non uniform sampling (NUS) reduces the time taken to record multidimensional NMR spectra by collecting a fraction of the usual data points and predicting the rest. There are many algorithms to predict the skipped data points and even multiple implementations of the same algorithm. Here I compare two implementations of the Iterative Soft Threshold (IST) algorithm, one provided by nmrPipe and the other by SMILE.
