波谱学杂志Issue(4)：535-547,13.
不同采样模式的固体DQ-SQ实验的压缩感知重建比较
Comparison of Different Sampling Schemes in Compressed Sensing Reconstruction for DQ-SQ experiments
摘要
Abstract
To increase the speed of acquisition of two-dimensional solid-state DQ-SQ spectrum, a compressed sensing algorithm which makes use of the self-sparsity of the spectrum to construct under-sampled data. The energy function used in optimization is l1 norm together with the finite difference term. In the finite different term, we used different weights for the horizontal and vertical finite differences. Different sampling schemes were compared and pseudo-random sampling combined with compressed sensing reconstruction was found to yield the best results. Furthermore, we found that the extreme case of pseudo-random sampling, that is, t1-cutoff sampling may be the best choice.关键词
固体核磁共振(solid-state NMR)/压缩感知/采样模式/DQ-SQ/伪随机Key words
solid-state NMR/compressed sensing/sampling scheme/DQ-SQ/pseudo-random分类
数理科学引用本文复制引用
郑慧,韩明月,胡炳文,杨光..不同采样模式的固体DQ-SQ实验的压缩感知重建比较[J].波谱学杂志,2014,(4):535-547,13.基金项目
上海市科委资助项目(08DZ1900700) （08DZ1900700）
