ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2016
Subrandom methods for multidimensional nonuniform sampling.
Article in Journal of magnetic resonance (San Diego, Calif. : 1997), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed, 12 citations in OpenAlex.
- Evaluating metrics of spectral quality in nonuniform sampling.Journal of magnetic resonance open · 2025Article
- Clustered sparsity and Poisson-gap sampling.Journal of biomolecular NMR · 2021Article
- Defining the epitope of a blood-brain barrier crossing single domain antibody specific for the type 1 insulin-like growth factor receptor.Scientific reports · 2021Article
- The influence of the probability density function on spectral quality in nonuniformly sampled multidimensional NMR.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2020Article
- A non-uniform sampling approach enables studies of dilute and unstable proteins.Journal of biomolecular NMR · 2017Article
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Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Methods of nonuniform sampling that utilize pseudorandom number sequences to select points from a weighted Nyquist grid are commonplace in biomolecular NMR studies, due to the beneficial incoherence introduced by pseudorandom sampling. However, these methods require the specification of a non-arbitrary seed number in order to initialize a pseudorandom number generator. Because the performance of pseudorandom sampling schedules can substantially vary based on seed number, this can complicate the task of routine data collection. Approaches such as jittered sampling and stochastic gap sampling are effective at reducing random seed dependence of nonuniform sampling schedules, but still require the specification of a seed number. This work formalizes the use of subrandom number sequences in nonuniform sampling as a means of seed-independent sampling, and compares the performance of three subrandom methods to their pseudorandom counterparts using commonly applied schedule performance metrics. Reconstruction results using experimental datasets are also provided to validate claims made using these performance metrics.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.