This work presents an innovative full sparse inverse scattering method for non-linear inverse scattering problems. The retrieval of the total field configuration inside a non accessible domain is solved using an efficient Compressive Processing inversion. Accordingly, an over-complete dictionary is built and optimized using a dictionary learning algorithm, in order to assure the sparse representation of the unknowns.
Full sparsity in compressive processing for non-linear inverse scattering / Anselmi, N.; Massa, A.. - STAMPA. - (2019), pp. 1011-1012. (Intervento presentato al convegno 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, APSURSI 2019 tenutosi a Atlanta, GA, USA, Hilton Atlanta Hotel nel 7-12 July 2019) [10.1109/APUSNCURSINRSM.2019.8888470].
Full sparsity in compressive processing for non-linear inverse scattering
Anselmi N.;Massa A.
2019-01-01
Abstract
This work presents an innovative full sparse inverse scattering method for non-linear inverse scattering problems. The retrieval of the total field configuration inside a non accessible domain is solved using an efficient Compressive Processing inversion. Accordingly, an over-complete dictionary is built and optimized using a dictionary learning algorithm, in order to assure the sparse representation of the unknowns.| File | Dimensione | Formato | |
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Full Sparsity in Compressive Processing for Non-Linear Inverse Scattering.pdf
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