This subproject is one of many research subprojects utilizing theresources provided by a Center grant funded by NIH/NCRR. The subproject andinvestigator (PI) may have received primary funding from another NIH source,and thus could be represented in other CRISP entries. The institution listed isfor the Center, which is not necessarily the institution for the investigator.Keywords: spectrum analysis, maximum entropy, Abstract:The Discrete Fourier Transform (DFT) played an enabling role in the development of modern NMR spectroscopy, but it suffers from well-known limitations, notably the difficulty of obtaining high resolution spectra from short data records. Maximum Entropy (MaxEnt) reconstruction is an alternative to the DFT that yields high resolution spectra for short records, is suitable for processing nonuniformly sampled data and is able to peform stable deconvolution. A drawback of the method is that it is computationally intensive. In special cases MaxEnt can benefit from loosely-coupled clusters of computers, but more generally the problem is tightly coupled, and shoud benefit from a shared-memory architecture for substantial reduction in computation time. Accleration of MaxEnt reconstruction will enable substantial reducation in measuring time and increased resolution for multidimensional biomolecular NMR.
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