Zobrazeno 1 - 10
of 3 950
pro vyhledávání: '"Lynn, F."'
Sub-sampling is applied to simulated $T_1$-$D$ NMR signals and its influence on inversion performance is evaluated. For this different levels of sub-sampling were employed ranging from the fully sampled signal down to only less than two percent of th
Externí odkaz:
http://arxiv.org/abs/2401.00599
The concept of deep learning is employed for the inversion of NMR signals and it is shown that NMR signal inversion can be considered as an image-to-image regression problem, which can be treated with a convolutional neural net. It is further outline
Externí odkaz:
http://arxiv.org/abs/2311.13722
Autor:
Beckmann, Julian B. B., Sparks, Amy, Ward-Williams, Jordan A., Mantle, Mick D., Sederman, Andrew J., Gladden, Lynn F.
The concept of generalized cross-validation (GCV) is applied to modified total generalized variation (MTGV) regularization. Current implementations of the MTGV regularization rely on manual (or semi-manual) hyperparameter optimization, which is both
Externí odkaz:
http://arxiv.org/abs/2311.11442