Publication: Performance evaluation of spatial modulation patterns in compressive sensing terahertz imaging
| dc.contributor.author | Ndagijimana, Adolphe | |
| dc.contributor.author | Heredia Conde, Miguel | |
| dc.contributor.author | Ederra Urzainqui, Íñigo | |
| dc.contributor.department | Ingeniería Eléctrica, Electrónica y de Comunicación | es_ES |
| dc.contributor.department | Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren | eu |
| dc.date.accessioned | 2023-05-17T10:10:48Z | |
| dc.date.available | 2023-05-17T10:10:48Z | |
| dc.date.issued | 2022 | |
| dc.date.updated | 2023-05-17T10:03:19Z | |
| dc.description.abstract | Terahertz (THz) imaging traditionally uses pixel-to-pixel mechanical raster scanning, which is slow and limits the resolution and potential applications. Compressive Sensing Terahertz (CS-THz) imaging has the potential to solve these challenges by reducing the number of required measurements. However, there is an existing research gap between the current CS-THz implementations, which often use random binary masks without further consideration, and specialized Compressive Sensing works, which focus on RIP and coherence reduction but ignore the physics underlying THz wave propagation such as the effect of diffraction on masks patterns. This paper discusses and evaluates the use of low-coherence sensing matrices as mask patterns for CS-THz imaging. Although not previously used in THz imaging, Best Antipodal Spherical Code masks show the best image reconstruction performance among the considered alternatives. We also demonstrate the feasibility of phase-only modulation. | en |
| dc.description.sponsorship | This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 860370. | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Ndagijimana, A., Conde, M. H., & Urzainqui, I. E. (2022). Performance evaluation of spatial modulation patterns in compressive sensing terahertz imaging. 2022 IEEE Sensors, 1-4. https://doi.org/10.1109/SENSORS52175.2022.9967090 | en |
| dc.identifier.doi | 10.1109/SENSORS52175.2022.9967090 | |
| dc.identifier.isbn | 978-1-6654-8464-0 | |
| dc.identifier.uri | https://academica-e.unavarra.es/handle/2454/45298 | |
| dc.language.iso | eng | en |
| dc.publisher | IEEE | en |
| dc.relation.ispartof | IEEE Sensors proceedings: IEEE; 2022. p.1-4 978-1-6654-8464-0 | en |
| dc.relation.projectID | info:eu-repo/grantAgreement/European Commission/Horizon 2020 Framework Programme/860370 | en |
| dc.relation.publisherversion | https://doi.org/10.1109/SENSORS52175.2022.9967090 | |
| dc.rights | © 2022 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. | en |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | |
| dc.subject | Compressive Sensing | en |
| dc.subject | Optical Switch | en |
| dc.subject | Spatial Light Modulation | en |
| dc.subject | THz imaging | en |
| dc.title | Performance evaluation of spatial modulation patterns in compressive sensing terahertz imaging | en |
| dc.type | info:eu-repo/semantics/conferenceObject | |
| dc.type.version | Versión aceptada / Onetsi den bertsioa | es |
| dc.type.version | info:eu-repo/semantics/acceptedVersion | en |
| dspace.entity.type | Publication | |
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