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Please use this identifier to cite or link to this item: http://hdl.handle.net/2289/4204
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dc.contributor.authorSubrahmanya, C.R.-
dc.date.accessioned2011-12-15T05:26:01Z-
dc.date.available2011-12-15T05:26:01Z-
dc.date.issued1980-09-
dc.identifier.citationAstronomy and Astrophysics, 1980, Vol. 89, p. 132-139en
dc.identifier.issn0004-6361-
dc.identifier.issn1432-0746 (Online)-
dc.identifier.urihttp://hdl.handle.net/2289/4204-
dc.descriptionRestricted Access.en
dc.description.abstractA new method of deconvolution is described which uses prior knowledge about the solution to derive some of the information obscured in the data because of the smoothing nature of convolution and the presence of noise. It uses a regularized least-squares criterion of agreement with the data, according to which the computed solution will lead to a minimum variance of noise and also be smooth in the sense of minimum variance of its second-differences. In addition, the present optimum deconvolution method also constrains this solution to satisfy prior knowledge about it by using a combination of a new algorithm for incorporating bounds on the solution like positivity, and the Lagrange multiplier method for equality-constraints.en
dc.language.isoenen
dc.publisherEDP Sciencesen
dc.relation.urihttp://adsabs.harvard.edu/abs/1980A%26A....89..132Sen
dc.rights1980 EDP Sciencesen
dc.subjectImage Reconstructionen
dc.subjectImaging Techniquesen
dc.subjectLunar Occultationen
dc.subjectMeasuring Instrumentsen
dc.subjectLeast Squares Methoden
dc.subjectLinear Filtersen
dc.subjectPower Spectraen
dc.subjectRadio Telescopesen
dc.subjectResolutionen
dc.titleA new method of deconvolution and its application to lunar occultationsen
dc.typeArticleen
Appears in Collections:Research Papers (A&A)

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