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VLBI Image Deconvolution Based on Generalized Nonlinear Information Methods

Published online by Cambridge University Press:  12 April 2016

A. T. Bajkova*
Affiliation:
Institute of Applied Astronomy, St. Petersburg, 197110, Russia

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.

Type
Research Article
Copyright
Copyright © Astronomical Society of the Pacific 1998

References

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