High-resolution boosted deconvolution of spectroscopic data
High-resolution boosted deconvolution of spectroscopic data
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DOI：
10.1016/j.cam.2010.09.005
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
M. Morhác;V. Matousek
中科院分区：
文献类型：
--
作者：
M. Morhác;V. Matousek
光谱分析数据的质量在于正确识别峰的存在，并随后准确估计峰的位置。在本文中，我们提出了高分辨率的反卷积算法。我们提出通过在反卷积过程中引入升压运算来提高效率。
The quality of the analysis of spectrometric data consists in correct identification of the existence of peaks and subsequently in good estimation of their positions. In this paper we present high-resolution deconvolution algorithms. We propose an improvement in the efficiency by introducing a boosting operation into the deconvolution process.