| dc.contributor.author | Álvarez Vizoso, Javier | |
| dc.contributor.author | Beltrán Álvarez, Carlos | |
| dc.contributor.author | Cuevas Fernández, Diego | |
| dc.contributor.author | Santamaría Caballero, Luis Ignacio | |
| dc.contributor.author | Tucek, Vít | |
| dc.contributor.author | Peters, Gunnar | |
| dc.contributor.other | Universidad de Cantabria | es_ES |
| dc.date.accessioned | 2024-02-14T19:21:02Z | |
| dc.date.available | 2024-10-01T00:46:11Z | |
| dc.date.issued | 2023-09 | |
| dc.identifier.issn | 2049-8772 | |
| dc.identifier.issn | 2049-8764 | |
| dc.identifier.other | PID2020-113887GB-I00 | es_ES |
| dc.identifier.other | PID2019-104958RB-C43 | es_ES |
| dc.identifier.uri | https://hdl.handle.net/10902/31748 | |
| dc.description.abstract | We consider the chordal product determinant, a measure of the distance between two subspaces of the same dimension. In information theory, collections of elements in the complex Grassmannian are searched with the property that their pairwise chordal products are as large as possible. We characterize this function from an statistical perspective, which allows us to obtain bounds for the minimal chordal product and related energy of such collections. | es_ES |
| dc.description.sponsorship | This work was supported by Huawei Technologies, Sweden AB; Ministerio de Universidades (MIU), Spain, [FPU20/03563 to D.C.]; and the Ministerio de Ciencia e Innovación/Agencia Estatal de Investigación MCIN/AEI/10.13039/501100011033, Spain, [PID2020-113887GB-I00 to C.B., PID2019-104958RB-C43 to I.S.]. | es_ES |
| dc.format.extent | 23 p. | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | Oxford University Press | es_ES |
| dc.rights | © The Author(s) 2023. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved. This is a pre-copyedited, author-produced PDF of an article accepted for publication in Information and Inference following peer review. The version of record: Álvarez-Vizoso, J., Beltrán, C., Cuevas, D., Santamaría, I., Tuček, V., & Peters, G. (2023). Statistical characterization of the chordal product determinant of Grassmannian codes. Information and Inference: A Journal of the IMA, 12(3), 2406-2422. https://doi.org/10.1093/imaiai/iaad035 is available online at: https://academic.oup.com/imaiai/article-abstract/12/3/2406/7256135?redirectedFrom=fulltext | es_ES |
| dc.source | Information and Inference: a Journal of the IMA, 2023, 12(3), 2406-2422 | es_ES |
| dc.title | Statistical characterization of the chordal product determinant of Grassmannian codes | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.relation.publisherVersion | https://doi.org/10.1093/imaiai/iaad035 | es_ES |
| dc.rights.accessRights | openAccess | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113887GB-I00/ES/DESIGN OF MINIMAL ENERGY SEQUENCES/ | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-104958RB-C43/ES/AVANCES EN CODIFICACION Y PROCESADO DE SEÑAL PARA LA SOCIEDAD DIGITAL/ | es_ES |
| dc.identifier.DOI | 10.1093/imaiai/iaad035 | |
| dc.type.version | acceptedVersion | es_ES |
