title: Generalized Fourier transform for non-uniform sampled data.
abstract: 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.
authors.affiliation: Faculty of Chemistry, University of Warsaw, Pasteura 1, 02093, Warsaw, Poland.
authors.forename: Krzysztof
authors.initials: K
authors.lastname: Kazimierczuk
authors.forename: Maria
authors.initials: M
authors.lastname: Misiak
authors.forename: Jan
authors.initials: J
authors.lastname: Stanek
authors.forename: Anna
authors.initials: A
authors.lastname: Zawadzka-Kazimierczuk
authors.forename: Wiktor
authors.initials: W
authors.lastname: Koźmiński
mesh_terms: D000465:Algorithms; D016208:Databases, Factual; D005583:Fourier Analysis; D009682:Magnetic Resonance Spectroscopy / Q000592:standards; D012015:Reference Standards