In the framework of the multitask Bayesian compressive sensing (BCS) paradigm, two innovative approaches for the solution of coherent imaging problems are proposed within the first-order Born approximation and the Rytov approximation.Selected numerical results are reported to compare the proposed techniques with state-of-the-art BCS approaches as well as global optimization-based methods. © 2013 Wiley Periodicals, Inc.

Sparse scatterers imaging through approximated multitask compressive sensing strategies / Viani, Federico; Poli, Lorenzo; Oliveri, Giacomo; Robol, Fabrizio; Massa, Andrea. - In: MICROWAVE AND OPTICAL TECHNOLOGY LETTERS. - ISSN 0895-2477. - STAMPA. - 55:7(2013), pp. 1553-1558. [10.1002/mop.27612]

Sparse scatterers imaging through approximated multitask compressive sensing strategies

Viani, Federico;Poli, Lorenzo;Oliveri, Giacomo;Robol, Fabrizio;Massa, Andrea
2013

Abstract

In the framework of the multitask Bayesian compressive sensing (BCS) paradigm, two innovative approaches for the solution of coherent imaging problems are proposed within the first-order Born approximation and the Rytov approximation.Selected numerical results are reported to compare the proposed techniques with state-of-the-art BCS approaches as well as global optimization-based methods. © 2013 Wiley Periodicals, Inc.
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Viani, Federico; Poli, Lorenzo; Oliveri, Giacomo; Robol, Fabrizio; Massa, Andrea
Sparse scatterers imaging through approximated multitask compressive sensing strategies / Viani, Federico; Poli, Lorenzo; Oliveri, Giacomo; Robol, Fabrizio; Massa, Andrea. - In: MICROWAVE AND OPTICAL TECHNOLOGY LETTERS. - ISSN 0895-2477. - STAMPA. - 55:7(2013), pp. 1553-1558. [10.1002/mop.27612]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/97269
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