An innovative approach based on a total variation (TV) version of the compressive sensing (CS) technique is proposed for the two-dimensional far field reconstruction from a limited number of measurement points. The reconstruction problem is formulated as the minimization of an augmented Lagrangian function. A set of numerical experiments results is provided to assess the potentialities and features of the proposed method.
A total-variation compressive processing approach to two-dimensional field reconstruction / Li, B.; Oliveri, G.; Anselmi, N.; Massa, A.; Ke, W.; Tang, W.. - ELETTRONICO. - (2019), pp. 1467-1468. (Intervento presentato al convegno APSURSI 2019 tenutosi a Atlanta, GA nel 7th-12th July 2019) [10.1109/APUSNCURSINRSM.2019.8888291].
A total-variation compressive processing approach to two-dimensional field reconstruction
Oliveri G.;Anselmi N.;Massa A.;
2019-01-01
Abstract
An innovative approach based on a total variation (TV) version of the compressive sensing (CS) technique is proposed for the two-dimensional far field reconstruction from a limited number of measurement points. The reconstruction problem is formulated as the minimization of an augmented Lagrangian function. A set of numerical experiments results is provided to assess the potentialities and features of the proposed method.File | Dimensione | Formato | |
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A Total-Variation Compressive Processing Approach to Two-Dimensional Field Reconstruction.pdf
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