Variational algorithms of measurand reconstruction based on entropy-like criteria

The reconstruction of a measurand on the basis of raw measurement data subj ect to systematic distortions and random errors is a problem often met in i nstrumental applications. Various regularization techniques are used to dea l with its ill-conditioning. In this paper the applicability of two variati onal algorithms based on entropy-like criteria is studied. Their accuracy i s assessed using spectrometric-type synthetic data and spectrophotometric m easurement data. The proposed algorithms are compared with some known algor ithms most frequently used for measurand reconstruction. (C) 1998 John Wile y & Sons, Ltd.