A quantitative evaluation of various iterative deconvolution algorithms
作者： P.B. Crilly
DOI: 10.1109/19.87019
关键词: Rate of convergence 、 Ratio method 、 Mathematics 、 Peak area 、 Algorithm 、 Iterative deconvolution 、 Iterative method 、 Convergence (routing) 、 Relaxation (iterative method) 、 Constraint (information theory)
摘要: Various iterative deconvolution algorithms are evaluated that commonly used to restore degraded chromatographic or spectroscopic peak data. The evaluation criteria include RMS errors, relative errors in areas, area variances, and rate of convergence. be Van Cittert's method, method with constraint operators, relaxation based methods, Gold's ratio method. discussion also includes some enhancements will improve the algorithms' convergence properties. >
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