首页> 外文会议>7th International Workshop-Conference on Artificial and Natural Neural Networks, IWANN 2003 Pt.2 Jun 3-6, 2003 Mao, Menorca, Spain >A Generalized Eigendecomposition Approach Using Matrix Pencils to Remove Artefacts from 2D NMR Spectra
【24h】

A Generalized Eigendecomposition Approach Using Matrix Pencils to Remove Artefacts from 2D NMR Spectra

机译:使用矩阵铅笔从2D NMR光谱中去除伪影的广义特征分解方法

获取原文
获取原文并翻译 | 示例

摘要

Multidimensional H nmr spectra of biomolecules dissolved in light water are contaminated by an intense water artefact. We discuss the application of the generalized eigenvalue decomposition (GEVD) method using a matrix pencil to explore the time structure of the signals in order to separate out the water artefacts. Simulated as well as experimental 2D NOESY spectra of proteins axe studied. Results axe compared to those obtained with the FastICA algorithm.
机译:溶解在轻水中的生物分子的多维H nmr光谱被强烈的水假象污染。我们讨论使用矩阵铅笔的广义特征值分解(GEVD)方法的应用,以探究信号的时间结构,以分离出水文物。所研究蛋白质的模拟和实验二维NOESY光谱。结果与使用FastICA算法获得的结果相比。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号