使用相同矩阵铅笔的GEVD从二维蛋白质核磁共振光谱中去除水伪影

Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings. Pub Date : 2003-07-01 DOI:10.1109/ISSPA.2003.1224821

K. Stadlthanner, A. Tomé, Fabian J Theis, W. Gronwald, H. Kalbitzer, E. Lang

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引用次数: 3

摘要

溶解在轻水中的生物分子的多维氢核磁共振谱受到强水伪影的污染。我们讨论了广义特征值分解(GEVD)方法的应用，使用矩阵铅笔来探索信号的时间结构，以分离出水伪影。研究了蛋白质的模拟和实验二维噪声谱。结果与FastICA算法的结果进行了比较。

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Removing water artefacts from 2D protein NMR spectra using GEVD with congruent matrix pencils

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 are studied. Results are compared to those obtained with the FastICA algorithm.

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Seventh International Symposium on Signal Processing and Its Applications, 2003. Proceedings.

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