Bayesian Compressive Sampling applied to Microwave Imaging under the first Born Approximation as compared to Deterministic and Stocastic Techniques

Poli, L. and Oliveri, G. and Massa, A. (2014) Bayesian Compressive Sampling applied to Microwave Imaging under the first Born Approximation as compared to Deterministic and Stocastic Techniques. Technical Report. University of Trento.

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Abstract

This report proposes a comparison of a Bayesian Compressive Sampling strategy applied to solve the inverse scattering problem under the first Born approximation, with deterministic (conjugate gradient method) and stocastic (genetic algorithms) approaches. The reconstruction errors has been evaluated and compared for different values of the dielectric permittivity.

Item Type: Monograph (Technical Report)
Uncontrolled Keywords: Inverse Scattering
Subjects: M Methodologies > M CS Compressive Sensing
URI: http://www.eledia.org/students-reports/id/eprint/292

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