Publication
Hadamard matrices on error detection and correction: useful links to BIBD
| dc.contributor.author | Francisco, Carla | |
| dc.contributor.author | Oliveira, Teresa A. | |
| dc.contributor.author | Oliveira, Amilcar | |
| dc.contributor.author | Carvalho, Francisco | |
| dc.date.accessioned | 2021-05-14T07:45:18Z | |
| dc.date.available | 2021-05-14T07:45:18Z | |
| dc.date.issued | 2019-08-02 | |
| dc.description.abstract | In the areas of Computer Science and Telecommunications there is a huge amount of applications in which error control, error detection and error correction are crucial tools to enable reliable delivery of digital data over unreliable communication, thus providing quality of service. Hadamard matrices can almost directly be used as an error-correcting code using an Hadamard code, generalized in Reed-Muller codes. Advances in algebraic design theory by using deep connections with algebra, finite geometry, number theory, combinatorics and optimization provided a substantial progress on exploring Hadamard matrices. Their construction and its use on combinatorics are crucial nowadays in diverse fields such as: quantum information, communications, networking, cryptography, biometry and security. Hadamard matrices give rise to a class of block designs named Hadamard configurations and different applications of it based on new technologies and codes of figures such as QR Codes are present almost everywhere. Some connections to Balanced Incomplete Block Designs are very well known as a tool to solve emerging problems in these areas. We will explore the use of Hadamard matrices on QR Codes error detection and correction. Some examples will be provided. | pt_PT |
| dc.description.sponsorship | This research was partially sponsored by national funds through the Fundação Nacional para a Ciência e Tecnologia, Portugal - FCT under the project PEst-OE/MAT/UI0006/2014. | |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.doi | 10.1007/978-3-030-17519-1_8 | pt_PT |
| dc.identifier.isbn | 978-3-030-17518-4 | |
| dc.identifier.uri | http://hdl.handle.net/10400.2/10738 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Springer | pt_PT |
| dc.subject | BIBD | pt_PT |
| dc.subject | Error-correcting code | pt_PT |
| dc.subject | Hadamard matrices | pt_PT |
| dc.subject | QR Codes | pt_PT |
| dc.title | Hadamard matrices on error detection and correction: useful links to BIBD | pt_PT |
| dc.type | book part | |
| dspace.entity.type | Publication | |
| oaire.citation.endPage | 110 | pt_PT |
| oaire.citation.startPage | 99 | pt_PT |
| oaire.citation.title | Matrices, Statistics and Big Data | pt_PT |
| person.familyName | Gonçalves Francisco | |
| person.familyName | Oliveira | |
| person.familyName | Oliveira | |
| person.givenName | Carla Susete | |
| person.givenName | Teresa A. | |
| person.givenName | Amilcar | |
| person.identifier | 1155497 | |
| person.identifier.ciencia-id | 3719-3D1B-2F39 | |
| person.identifier.ciencia-id | 8814-A54B-12DE | |
| person.identifier.ciencia-id | 7110-61B4-B87F | |
| person.identifier.orcid | 0000-0001-7136-6438 | |
| person.identifier.orcid | 0000-0003-3283-9946 | |
| person.identifier.orcid | 0000-0001-5500-7742 | |
| person.identifier.rid | J-3077-2019 | |
| person.identifier.scopus-author-id | 54403540300 | |
| person.identifier.scopus-author-id | 55675222550 | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | bookPart | pt_PT |
| relation.isAuthorOfPublication | b87c152b-ddf8-4e73-b057-abc80fbb58ba | |
| relation.isAuthorOfPublication | 82b3cd70-88cc-4d31-b4b0-4705f8496c67 | |
| relation.isAuthorOfPublication | 1c873476-22fd-4331-8286-ff5576ac3b0c | |
| relation.isAuthorOfPublication.latestForDiscovery | 82b3cd70-88cc-4d31-b4b0-4705f8496c67 |
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