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VLBI Image Deconvolution Based on Generalized Nonlinear Information Methods
Published online by Cambridge University Press: 12 April 2016
Abstract
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A number of nonlinear image deconvolution procedures based on extremizing generalized Shannon entropy, Kullback-Leibler cross-entropy and Renyi information measures are suggested for VLBI mapping with minimal nonlinear distortions. A new approach to phaseless mapping urgent in the case of unreliable closure phases is proposed.
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- Research Article
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- Copyright © Astronomical Society of the Pacific 1998
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