Maximum Entropy reconstruction of nonuniformly sparsely sampled data.
Maximum Entropy, or MaxEnt, is a method commonly used to reconstruct nonuniformly sparsely sampled data in Nuclear Magnetic Resonance (NMR) spectroscopy. MaxEnt uses the principle of maximum entropy to guide reconstruction: it finds the least informative spectrum that agrees with the sparse measured data.
The Convex Accelerated Maximum Entropy Reconstruction Algorithm, or CAMERA, is a new MaxEnt reconstruction algorithm for NMR that fully exploits the curvature and convexity of the entropy functional to converge rapidly to MaxEnt solutions. CAMERA is faster than previous methods of MaxEnt reconstruction, and integrates easily into nmrPipe processing scripts. So if you’re reconstructing on-grid NUS NMR datasets, you should seriously be using CAMERA. ;)
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