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- W69881018 abstract "This chapter discusses the concept of reference deconvolution. Data processing methods for enhancing the results of nuclear magnetic resonance (NMR) experiments can be roughly divided into those that are mathematically linear, such as conventional sensitivity or resolution enhancement using appropriate time domain weighting functions, and those that are nonlinear, such as maximum entropy or linear prediction. Nonlinear methods suffer from the disadvantage that there is no simple relationship between the data going in and the results coming out, with the consequence that it is all too easy to obtain misleading results. Considerable care is needed if reliable results are to be obtained from such methods. Reference deconvolution is unusual among data processing methods in using internal evidence to repair the damage done to the spectral data by instrumental imperfections; parenthetically, the form of the correction function itself can be a useful guide to instrumental fault-finding. The principal uses of reference deconvolution are in the production of high-quality spectra, whether for the reliable detection of minor components of mixtures, for the accurate measurement of small nuclear Overhauser effects. There is also a good case for using reference deconvolution as a routine tool whenever resolution enhancement is to be applied to a high-resolution spectrum, because all too often enhancing the resolution of an apparently well-shimmed spectrum leads to the appearance of spurious splittings." @default.
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- W69881018 date "1997-01-01" @default.
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- W69881018 title "Chapter 14 Reference deconvolution" @default.
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- W69881018 doi "https://doi.org/10.1016/s0926-4345(97)80016-8" @default.
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