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Enhanced spectral resolution in 2D NMR signal analysis using linear prediction extrapolation and apodization

1989; Elsevier BV; Volume: 83; Issue: 3 Linguagem: Inglês

10.1016/0022-2364(89)90343-0

1557-8968

Yang Zeng, Jau Tang, C. Allen Bush, James R. Norris,

Protein Structure and Dynamics

An alternative method to FFT combining linear prediction extrapolation and linesharpening apodization has been applied to complex NMR signal analysis. This method, in common with other LP procedures with a matrix decomposition routine, avoids truncation artifacts and increases resolution significantly. The advantage is particularly important for the t, dimension in 2D spectra which are invariably severely truncated as a result of practical limits on data acquisition time and storage space. Because of the incorporation of an efficient autoregression algorithm, our procedure can be used for routine spectral analysis of complex 1 D and general 2D spectra of complex molecules with computational resources which are commonly available in NMR laboratories.