In this paper, an innovate approach which combines a customized sparseness-regularized solver with a multi-scaling procedure for the reconstruction of sparse two-dimensional (2D) dielectric profiles is presented. A customized fast Relevant Vector Machine (RVM), constrained to estimate the sparse unknown coefficients only within a restricted research space defined according to the information progressively acquired during the multi-scaling procedure, is used to solve the inverse problem formulated as a Bayesian Compressive Sensing (BCS) one. Selected numerical results are presented in order to numerically validate the proposed method also in a comparative assessment with the bare approach.

Advances in multi-resolution approaches for computational inverse scattering - On the integration of sparse retrieval within the multi-resolution inversion / Poli, Lorenzo; Oliveri, Giacomo; Massa, Andrea. - STAMPA. - (2017), pp. 1-3. (Intervento presentato al convegno 6th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2017 tenutosi a Xi'an, China nel 16-19 October 2017) [10.1109/APCAP.2017.8420784].

Advances in multi-resolution approaches for computational inverse scattering - On the integration of sparse retrieval within the multi-resolution inversion

Poli, Lorenzo;Oliveri, Giacomo;Massa, Andrea
2017-01-01

Abstract

In this paper, an innovate approach which combines a customized sparseness-regularized solver with a multi-scaling procedure for the reconstruction of sparse two-dimensional (2D) dielectric profiles is presented. A customized fast Relevant Vector Machine (RVM), constrained to estimate the sparse unknown coefficients only within a restricted research space defined according to the information progressively acquired during the multi-scaling procedure, is used to solve the inverse problem formulated as a Bayesian Compressive Sensing (BCS) one. Selected numerical results are presented in order to numerically validate the proposed method also in a comparative assessment with the bare approach.
2017
2017 IEEE 6th Asia-Pacific Conference on Antennas and Propagation, APCAP 2017 - Proceeding
Piscataway, NJ
Institute of Electrical and Electronics Engineers Inc.
9781538616086
Poli, Lorenzo; Oliveri, Giacomo; Massa, Andrea
Advances in multi-resolution approaches for computational inverse scattering - On the integration of sparse retrieval within the multi-resolution inversion / Poli, Lorenzo; Oliveri, Giacomo; Massa, Andrea. - STAMPA. - (2017), pp. 1-3. (Intervento presentato al convegno 6th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2017 tenutosi a Xi'an, China nel 16-19 October 2017) [10.1109/APCAP.2017.8420784].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/212209
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