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Constrained iterative deconvolution using a conjugate gradient algorithm

Published • Mar 24, 2005
NobleIDNI8P14W19R79S13
Authors:
Richard Marucci
,
R. Mersereau
,
Ronald W. Schafer

Abstract

In this paper the problem of contrained deconvolution is related to the minimization of a functional. By applying the conjugate gradient algorithm of optimization theory to this minimization an efficient iterative algorithm for deconvolution is developed. This algorithm is then extended to perform c...

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