The recovery of signals with finite-valued components from few linear measurements is a problem with widespread applications and interesting mathematical characteristics. In the com-pressed sensing framework, tailored methods have been recently proposed to deal with the case of finite-valued sparse signals. In this letter, we focus on binary sparse signals and we propose a novel formulation, based on polynomial optimization. This approach is analyzed and compared to the state-of-the-art binary compressed sensing methods.
Recovery of Binary Sparse Signals From Compressed Linear Measurements via Polynomial Optimization / Fosson, Sophie Marie; Abuabiah, Mohammad. - In: IEEE SIGNAL PROCESSING LETTERS. - ISSN 1070-9908. - 26:7(2019), pp. 1070-1074.
Titolo: | Recovery of Binary Sparse Signals From Compressed Linear Measurements via Polynomial Optimization |
Autori: | |
Data di pubblicazione: | 2019 |
Rivista: | |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/LSP.2019.2919943 |
Appare nelle tipologie: | 1.1 Articolo in rivista |
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1905.13181.pdf | Articolo principale | 2. Post-print / Author's Accepted Manuscript | PUBBLICO - Tutti i diritti riservati | Visibile a tuttiVisualizza/Apri |
08726090.pdf | 2a Post-print versione editoriale / Version of Record | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
http://hdl.handle.net/11583/2739552