基于松弛迭代反卷积方法的比较研究

P. Crilly
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引用次数: 2

摘要

基于松弛的迭代反褶积方法对于恢复因测量过程而失真的光谱或色谱信息非常有用。本文对其中几种技术进行了评价。研究了它们的均方根误差性能、定量精度和可重复性、收敛速度以及处理噪声数据的能力。对于一类振幅有界且被高斯形脉冲响应函数扭曲的数据,表明P.A. Jansson的方法(1984)提供了最佳的总体性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A comparative study of relaxation based iterative deconvolution methods
Relaxation-based iterative deconvolution methods have become useful for restoring spectroscopic or chromatographic information that has become distorted by the measurement process. An evaluation is made of several of these techniques. Their RMS error performance, quantitative accuracy and repeatability, rate of convergence, and ability to work with noisy data are investigated. For a class of data that is amplitude-bounded and distorted by a Gaussian-shaped impulse response function, it is shown that P.A. Jansson's method (1984) provides the best overall performance.<>
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