Incoherence of Partial-Component Sampling in multidimensional NMR
In NMR spectroscopy, undersampling in the indirect dimensions causes reconstruction artifacts whose size can be bounded using the so-called {\it coherence}. In experiments with multiple indirect dimensions, new undersampling approaches were recently proposed: random phase detection (RPD) \cite{Macie...
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Main Authors | , , , |
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Format | Journal Article |
Language | English |
Published |
06.02.2017
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Subjects | |
Online Access | Get full text |
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Summary: | In NMR spectroscopy, undersampling in the indirect dimensions causes
reconstruction artifacts whose size can be bounded using the so-called {\it
coherence}. In experiments with multiple indirect dimensions, new undersampling
approaches were recently proposed: random phase detection (RPD)
\cite{Maciejewski11} and its generalization, partial component sampling (PCS)
\cite{Schuyler13}. The new approaches are fully aware of the fact that
high-dimensional experiments generate hypercomplex-valued free induction
decays; they randomly acquire only certain low-dimensional components of each
high-dimensional hypercomplex entry. We provide a classification of various
hypercomplex-aware undersampling schemes, and define a hypercomplex-aware
coherence appropriate for such undersampling schemes; we then use it to
quantify undersampling artifacts of RPD and various PCS schemes. |
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DOI: | 10.48550/arxiv.1702.01830 |