Algorithm to integrate a priori information about NMR signals for reconstruction of non-uniformly sampled (NUS) multidimensional data.
The Sparse Multidimensional Iterative Lineshape Enhanced (SMILE) algorithm integrates a priori information about NMR signals for most robust reconstruction of non-uniformly sampled (NUS) multidimensional data. It also treats the data as one single spectrum instead of many cross sections, further increasing robustness at the expense of an increase in the computational burden. The algorithm has been implemented as a new NMRPipe function, called SMILE. Together with such new tools as nusExpand.tcl and nusZF.com recently released by Frank Delaglio, the SMILE processing function streamlines the NUS spectral reconstruction. This manual is written to help users in the NMRPipe community set up a multithreading SMILE reconstruction job on a multicore Linux workstation or on a Mac computer.
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