期刊
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
卷 117, 期 -, 页码 56-60出版社
ELSEVIER
DOI: 10.1016/j.chemolab.2011.11.001
关键词
Baseline estimation; Mixture model; B-splines
Various instruments produce data consisting of a series of more or less isolated peaks, superimposed on a drifting baseline. The positions and the heights of the peaks are of interest and the baseline is a nuisance. We model a smooth baseline by weighted regression on P-splines, a combination of B-splines and a discrete penalty to tune smoothness. The weights are computed from a mixture model with two component distributions, relative to the baseline, one for noise, the other for the peaks. The algorithm is fast and it shows excellent performance on simulated and experimental data. (C) 2011 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据