Various iterative deconvolution algorithms are evaluated that are commonly used to restore degraded chromatographic or spectroscopic peak data. The evaluation criteria include RMS errors, relative errors in peak areas, peak area variances, and rate of convergence. The iterative algorithms to be evaluated include Van Cittert's method, Van Cittert's method with constraint operators, relaxation based methods, and Gold's ratio method. The discussion also includes some enhancements that will improve the algorithms' convergence properties.>
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P.B. Crilly (1991) studied this question.
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