Deconvolution methods for nonnegative signals
Résumé
The problem of signal deconvolution occurs in many appllcations, particularly in blomedlcal signal averaging when a jltter effect must be eliminated. Four methods for solving this deconvolution with non negative signals are presented. Three of them belong to a class of regularization methods and the fourth is based on shape variation. Tbese methods are compared by using the same example with and without noise, and the performances are given by the square dlfference between real and restored slgnals.