A maximum entropy approach to sampling function design
- 1 August 1988
- journal article
- Published by IOP Publishing in Inverse Problems
- Vol. 4 (3) , 829-841
- https://doi.org/10.1088/0266-5611/4/3/017
Abstract
The author uses the maximum entropy principle to infer the information content of sampling functions of data sets. This may be used as quantitative measure of the suitability of sampling schemes for use in inverse problems. The author presents a practical numerical means of evaluating the integrals which appear in the analysis, and demonstrates how the method is applied to the special case of homogeneous texture analysis.Keywords
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