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Please use this identifier to cite or link to this item: http://hdl.handle.net/2289/4204

Title: A new method of deconvolution and its application to lunar occultations
Authors: Subrahmanya, C.R.
Keywords: Image Reconstruction
Imaging Techniques
Lunar Occultation
Measuring Instruments
Least Squares Method
Linear Filters
Power Spectra
Radio Telescopes
Resolution
Issue Date: Sep-1980
Publisher: EDP Sciences
Citation: Astronomy and Astrophysics, 1980, Vol. 89, p. 132-139
Abstract: A 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.
Description: Restricted Access.
URI: http://hdl.handle.net/2289/4204
ISSN: 0004-6361
1432-0746 (Online)
Alternative Location: http://adsabs.harvard.edu/abs/1980A%26A....89..132S
Copyright: 1980 EDP Sciences
Appears in Collections:Research Papers (A&A)

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