Bulletin of the Russian Academy of Sciences: Physics Pub Date : 2020-12-07 , DOI: 10.3103/s1062873820110143 P. Kasprzak , K. Kazimierczuk , A. L. Shchukina
Abstract
Multidimensional NMR experiments applied in e.g. protein NMR may take days or even weeks of expensive experimental time. Compressed sensing (CS) is a method to save this time: some measurements are skipped and then reconstructed with the help of special algorithms. The orthogonal matching pursuit (OMP) is one of the effective tools of compressed sensing field. In this paper we introduce a jackknife-type stopping criterion for OMP. Unlike the standard stopping criteria, it does not require an estimation of the noise level. We extend the concept to the lorentzian peaks matching pursuit (LPMP) algorithm.
中文翻译:
关于Jackknifed贪婪算法及其在NMR中的应用
摘要
用于蛋白质NMR的多维NMR实验可能要花费数天甚至数周的昂贵实验时间。压缩传感(CS)是节省时间的一种方法:跳过某些测量,然后借助特殊算法进行重构。正交匹配追踪(OMP)是压缩感知领域的有效工具之一。在本文中,我们介绍了OMP的折刀式停止准则。与标准停止标准不同,它不需要估计噪声水平。我们将概念扩展到洛伦兹峰匹配追踪(LPMP)算法。