The paper proposes and algorithm for de-autoconvolution under positivity constraints. The methods of alternating minimization of the informational distance a la Csiszar-Tusnady are used to derive the algorithm and to study its convergence properties.
Positive autodeconvolution via alternating minimization
Lorenzo Finesso;
2017
Abstract
The paper proposes and algorithm for de-autoconvolution under positivity constraints. The methods of alternating minimization of the informational distance a la Csiszar-Tusnady are used to derive the algorithm and to study its convergence properties.File in questo prodotto:
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