Impact of diffraction on terahertz compressed sensing single-pixel imaging
| dc.contributor.author | Ndagijimana, Adolphe | |
| dc.contributor.author | Ederra Urzainqui, Íñigo | |
| dc.contributor.author | Heredia Conde, Miguel | |
| dc.contributor.department | Ingeniería Eléctrica, Electrónica y de Comunicación | es_ES |
| dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritza | eu |
| dc.date.accessioned | 2025-02-28T11:44:15Z | |
| dc.date.available | 2025-02-28T11:44:15Z | |
| dc.date.issued | 2024 | |
| dc.date.updated | 2025-02-28T10:57:31Z | |
| dc.description.abstract | Terahertz (THz) single-pixel imaging, through compressive sensing, enables sampling below Nyquist rates and bypasses the need for mechanical scanning and the limitation of availability of high-resolution cost-effective THz imaging array detectors off-the-shelf. This research investigates how diffraction phenomena affect THz single-pixel imaging and properties of sensing matrices, along with the sparse signal reconstruction process. We introduce a variety of strategies designed to mitigate the effects of diffraction, along with novel methods to counteract the disruptions caused by THz physics, thereby preserving the integrity of the original sensing matrix and improving signal recoverability. A comprehensive simulation study sheds light on the effects of diffraction on the sensing matrices and their impact on signal reconstruction. Our results highlight the importance of accurate diffraction minimization techniques and sophisticated modelling in enhancing THz imaging systems. | en |
| dc.description.sponsorship | This project has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 860370. | |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Ndagijimana, A., Ederra, I., Conde, M. H. (2024) Impact of diffraction on terahertz compressed sensing single-pixel imaging. In Anitori L. (Ed.) International Workshop on the Theory of Computational Sensing and its Applications to Radar, Multimodal Sensing and Imaging, CoSeRa 2024 (pp. 76-80). IEEE. https://doi.org/10.1109/CoSeRa60846.2024.10720355 | |
| dc.identifier.doi | 10.1109/CoSeRa60846.2024.10720355 | |
| dc.identifier.isbn | 979-8-3503-6551-1 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/53612 | |
| dc.language.iso | eng | |
| dc.publisher | IEEE | |
| dc.relation.ispartof | Anitori, L. (Ed.). International Workshop on the Theory of Computational Sensing and its Applications to Radar, Multimodal Sensing and Imaging, CoSeRa 2024. Piscataway: IEEE.; 2024. p. 76-80 | |
| dc.relation.projectID | info:eu-repo/grantAgreement/European Commission/Horizon 2020 Framework Programme/860370/ | |
| dc.relation.publisherversion | https://doi.org/10.1109/CoSeRa60846.2024.10720355 | |
| dc.rights | © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work. | |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.subject | Diffraction | en |
| dc.subject | Sensing matrices | en |
| dc.subject | Single-pixel imaging | en |
| dc.subject | Sparse signal reconstruction | en |
| dc.subject | Terahertz imaging | en |
| dc.title | Impact of diffraction on terahertz compressed sensing single-pixel imaging | en |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | |
| dspace.entity.type | Publication | |
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