Franceschini, Gabriele and Massa, Andrea (2011) An Unsupervised Strategy Based on a Fuzzy-Logic System for the Exploitation of the Information Content of Noisy Data in Inverse Scattering Problems. UNSPECIFIED.
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Inverse scattering data, although collected in a controlled-environment, are generally corrupted by an electromagnetic noise, which strongly affects the effectiveness of reconstruction strategies because of the intrinsic ill-conditioning of the problem. To limit the effects of the noise on the retrieval procedure, this paper presents an innovative fuzzy-logic-based approach, which allows one to take into account the corrupted nature of the data by fully exploiting all the available information content of the measurements. Selected numerical experiments in a noisy scenario are considered for assessing the potentialities of the approach also in comparison with a reference inverse scattering technique. This is the author's version of the final version available at IEEE.
|Item Type:||Departmental Technical Report|
|Department or Research center:||Information Engineering and Computer Science|
|Subjects:||Q Science > QC Physics (General) > QC661 Electromagnetic Theory|
Q Science > QC Physics (General) > QC760 Electromagnetism
|Repository staff approval on:||04 Aug 2011|
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