ArticleJournal of magnetic resonance (San Diego, Calif. : 1997)2016
Convex accelerated maximum entropy reconstruction.
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 4 papers.
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4 citing papers in PubMed.
- 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
- Bacteriophage Tail-Tube Assembly Studied by Proton-Detected 4D Solid-State NMR.Angewandte Chemie (International ed. in English) · 2017Article
- Interpolating and extrapolating with hmsIST: seeking a tJournal of biomolecular NMR · 2017Article
- Subrandom methods for multidimensional nonuniform sampling.Journal of magnetic resonance (San Diego, Calif. : 1997) · 2016Article
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Abstract
Maximum entropy (MaxEnt) spectral reconstruction methods provide a powerful framework for spectral estimation of nonuniformly sampled datasets. Many methods exist within this framework, usually defined based on the magnitude of a Lagrange multiplier in the MaxEnt objective function. An algorithm is presented here that utilizes accelerated first-order convex optimization techniques to rapidly and reliably reconstruct nonuniformly sampled NMR datasets using the principle of maximum entropy. This algorithm - called CAMERA for Convex Accelerated Maximum Entropy Reconstruction Algorithm - is a new approach to spectral reconstruction that exhibits fast, tunable convergence in both constant-aim and constant-lambda modes. A high-performance, open source NMR data processing tool is described that implements CAMERA, and brief comparisons to existing reconstruction methods are made on several example spectra.
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