2009
DOI: 10.1016/j.jmr.2009.01.003
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Narrow peaks and high dimensionalities: Exploiting the advantages of random sampling

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Cited by 76 publications
(97 citation statements)
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References 33 publications
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“…Multidimensional Fourier transform with iterative algorithm for artifact suppression (73) was employed to process indirect dimensions in three-dimensional experiments. Indirect dimensions in five-dimensional experiments were processed using the sparse multidimensional Fourier transform (74). Spectral analysis was done using the software Sparky 3.115 (T. D. Goddard and D. G. Kneller, University of California, San Francisco).…”
Section: Nmr Spectroscopymentioning
confidence: 99%
“…Multidimensional Fourier transform with iterative algorithm for artifact suppression (73) was employed to process indirect dimensions in three-dimensional experiments. Indirect dimensions in five-dimensional experiments were processed using the sparse multidimensional Fourier transform (74). Spectral analysis was done using the software Sparky 3.115 (T. D. Goddard and D. G. Kneller, University of California, San Francisco).…”
Section: Nmr Spectroscopymentioning
confidence: 99%
“…The non-uniformly sampled data were processed using Sparse Multidimensional Fourier Transform (SMFT) (Kazimierczuk et al 2009). This method does not recover the full high-dimensional spectrum.…”
Section: Resultsmentioning
confidence: 99%
“…Exploiting improved instrumental sensitivities substantial improvements were made (Chap. 3) due to: (i) non-uniform sampling technologies enabling high-dimensionality (> 4D) experiments (Kazimierczuk et al 2009), (ii) faster acquisition of NMR experiments making use of longitudinal relaxation enhancements (Schanda et al 2006) and (iii) direct heteronuclei ( 13 C) detection using cryoprobe technology (avoiding exchange problems) (Bermel et al 2012;Bertini et al 2011;Novacek et al 2011). The problems of poor signal dispersion and extensive signal overlap found for IDPs are overcome by high-dimensionality spectra (> 4D) using non-uniform sampling (NUS) of indirect dimensions together with appropriate processing schemes, e.g., Sparse Multidimensional Fourier Transform (SMFT) processing (Kazimierczuk et al 2010a;Kazimierczuk et al 2010b;Motackova et al 2010;Zawadzka-Kazimierczuk et al 2012).…”
Section: Nmr Spectral Assignment Of Idpsmentioning
confidence: 99%