@inproceedings{48b3e0f70fba4c738045f92c0feff40d,
title = "Kernel-PCA denoising of artifact-free protein NMR spectra",
abstract = "Multidimensional 1H NMR spectra of biomolecules dissolved in light water are contaminated by an intense water artifact. Generalized eigenvalue decomposition methods using congruent matrix pencils are used to separate the water artefact from the protein spectra. Due to the statistical separation process, however, noise is introduced into the reconstructed spectra. Hence Kernel - based denoising techniques are discussed to obtain noise- and artifact - free 2D NOESY NMR spectra of proteins.",
author = "K. Stadlthanner and Lang, {E. W.} and P. Gruber and Theis, {F. J.} and Tom{\'e}, {A. M.} and Teixeira, {A. R.} and Puntonet, {C. G.}",
year = "2004",
doi = "10.1109/IJCNN.2004.1380913",
language = "English",
isbn = "0780383591",
series = "IEEE International Conference on Neural Networks - Conference Proceedings",
pages = "1959--1964",
booktitle = "2004 IEEE International Joint Conference on Neural Networks - Proceedings",
note = "2004 IEEE International Joint Conference on Neural Networks - Proceedings ; Conference date: 25-07-2004 Through 29-07-2004",
}