Generalized Fourier transform for non-uniform sampled data

Fourier transform can be effectively used for processing of sparsely sampled multidimensional data sets. It provides the possibility to acquire NMR spectra of ultra-high dimensionality and/or resolution which allow easy resonance assignment and precise determination of spectral parameters, e.g., cou...

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Published inTopics in current chemistry Vol. 316; p. 79
Main Authors Kazimierczuk, Krzysztof, Misiak, Maria, Stanek, Jan, Zawadzka-Kazimierczuk, Anna, Koźmiński, Wiktor
Format Journal Article
LanguageEnglish
Published Germany 01.01.2012
Subjects
Algorithms
Databases, Factual
Fourier Analysis
Magnetic Resonance Spectroscopy - standards
Reference Standards
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Summary:Fourier transform can be effectively used for processing of sparsely sampled multidimensional data sets. It provides the possibility to acquire NMR spectra of ultra-high dimensionality and/or resolution which allow easy resonance assignment and precise determination of spectral parameters, e.g., coupling constants. In this chapter, the development and applications of non-uniform Fourier transform is presented.
ISSN:0340-1022
DOI:10.1007/128_2011_186