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Two-dimensional Fourier transform of arbitrarily sampled NMR data sets

机译:任意采样的NMR数据集的二维傅立叶变换

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A new procedure for Fourier transform with respect to more than one time variable simultaneously is proposed for NMR data processing. In the case of two-dimensional transform the spectrum is calculated for pairs of frequencies, instead of conventional sequence of one-dimensional transforms. Therefore, it enables one to Fourier transform arbitrarily sampled time domain and thus allows for analysis of high dimensionality spectra acquired in a short time. The proposed method is not limited to radial sampling, it requires only to fulfill the Nyquist theorem considering two or more time domains at the same time. We show the application of new approach to the 3D HNCO spectrum acquired for protein sample with radial and spiral time domain sampling. (c) 2006 Elsevier Inc. All rights reserved.
机译:针对NMR数据处理,提出了针对多个时间变量同时进行傅立叶变换的新方法。在二维变换的情况下,为频率对计算频谱,而不是传统的一维变换序列。因此,它可以对任意采样的时域进行傅立叶变换,从而可以在短时间内对高维光谱进行分析。所提出的方法不限于径向采样,它仅需要满足同时考虑两个或更多个时域的奈奎斯特定理。我们展示了在径向和螺旋时域采样的蛋白质样品获得的3D HNCO光谱中新方法的应用。 (c)2006 Elsevier Inc.保留所有权利。

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