Reduced multidimensional NMR experiments using a linear least-squares procedure
Reduced multidimensional NMR experiments using a linear least-squares procedure
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使用线性最小二乘程序简化多维 NMR 实验
DOI：
10.1016/0022-2364(87)90161-2
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发表时间：
1987
影响因子：
2.2
通讯作者：
C. Moonen
中科院分区：
文献类型：
--
作者：
Y. Manassen;G. Navon;C. Moonen
线性最小二乘程序被发现是常用的快速傅立叶变换算法（1）的有用替代品。它们提供了更短的实验时间的优势，特别是对于多维NMR实验。在该过程（I）中，峰值的幅度与频率和阻尼因子一起确定。然而，在多维实验中，各种线宽和共振频率通常可以在多维实验之前确定，即从一维实验中确定;然后可以使用这些信息来计算多维光谱中的振幅。
Linear least-squares procedures were found to be useful substitutes for the commonly used fast Fourier transform algorithm (1). They offer the advantage of much shorter experimental time, in particular for multidimensional NMR experiments. In this procedure (I), the amplitudes of the peak are determined together with the frequencies and the damping factors. However, in multidimensional experiments, the various linewidths and resonance frequencies can usually be determined prior to the multidimensional experiment, ie, from the one-dimensional experiment; and the information can then be used to calculate the amplitudes in the multidimensional spectrum (2).