波谱学杂志2016，Vol.33Issue(2)：244-256,13.DOI:10.11938/cjmr20160207
基于压缩感知/重采样的NMR噪声抑制新方法
A Compressed Sensing and Resampling Based Noise Suppression Method for NMR
摘要
Abstract
Sensitivity enhancement is an everlasting topic in analytical chemistry, for which the two most common approaches are signal enhancing and noise suppressing. In nuclear magnetic resonance (NMR) spectroscopy, signal enhancement can be achieved by utilizing high field spectrometers, cryogenic probes and/or using sophisticated pulse sequences. However, these approaches are often associated with dramatically increased cost. The other way to enhance sensitivity is to de-noise the data by post-processing, which is obviously more cost-effective and attractive. Based on the statistical resampling principle, we previously developed an NMR data post-processing method named NASR (An Effective Approach for Simultaneous Noise and Artifact Suppression in NMR Spectroscopy), which is effective to reduce unwanted noises and suppress artifacts in one-dimensional and multiple-dimensional NMR experiments. In practice, however, the optimal parameter setting for NASR is often difficult to achieve. In this study, compressed sensing (CS) was incorporated into the original NASR approach, resulting in a novel and robust noise suppression method for NMR experiments (CS_NASR), in which the subjective factors of the handlers are negligible.关键词
核磁共振(NMR)/数据处理/噪声抑制/压缩感知(CS)/重采样Key words
NMR/data processing/noise suppression/compressed sensing (CS)/resampling分类
数理科学引用本文复制引用
聂莉莎,蒋滨,张许,刘买利..基于压缩感知/重采样的NMR噪声抑制新方法[J].波谱学杂志,2016,33(2):244-256,13.基金项目
国家自然科学基金资助项目(21475146) （21475146）
