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Filter diagonalization method for processing PFG NMR data

机译:滤波器对角化处理PFG NMR数据的方法

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Obtaining diffusion coefficients from PFG NMR diffusion (a.k.a DOSY) data is, in the general case, an illposed problem. Numerous methods for processing such data have therefore been developed, each with different constraints and assumptions. The Regularized Resolvent Transform (RRT) is a proven and robust method for spectral inversion. In earlier papers RRT, albeit very slow, was argued to be superior for DOSY processing to a related algorithm, the Filter Diagonalization Method (FDM). Here FDM is revisited and a new regularization method is implemented, which drastically improves the performance and provides spectra of comparable or better quality to those provided by RRT. Both the RRT and the FDM for DOSY processing have been implemented as options in the free and open source DOSY Toolbox.
机译:通常情况下,从PFG NMR扩散(又称DOSY)数据获得扩散系数是一个不适的问题。因此,已经开发了用于处理此类数据的多种方法,每种方法具有不同的约束和假设。正则化溶剂变换(RRT)是一种可靠且可靠的频谱反转方法。在较早的论文中,尽管RRT非常慢,但被认为对于DOSY处理要优于相关的算法,即滤波器对角化方法(FDM)。在此重新审视了FDM,并实施了新的正则化方法,该方法可以大大提高性能,并提供与RRT提供的光谱相当或更好的光谱。在免费和开源的DOSY工具箱中,用于DOSY处理的RRT和FDM均已作为选项实现。

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