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dc.creatorGuerrero Martos, Davides
dc.creatorMillán Calderón, Alejandroes
dc.creatorJuan Chico, Jorgees
dc.creatorViejo Cortés, Juliánes
dc.creatorBellido Díaz, Manuel Jesúses
dc.creatorRuiz de Clavijo Vázquez, Paulinoes
dc.creatorOstúa Arangüena, Enriquees
dc.date.accessioned2021-02-12T11:25:58Z
dc.date.available2021-02-12T11:25:58Z
dc.date.issued2020
dc.identifier.citationGuerrero Martos, D., Millán Calderón, A., Juan Chico, J., Viejo Cortés, J., Bellido Díaz, M.J., Ruiz de Clavijo Vázquez, P. y Ostúa Arangüena, E. (2020). Using the complement of the cosine to compute trigonometric functions. EURASIP Journal on Advances in Signal Processing, 2020 (art. nº 35)
dc.identifier.issn1687-6180es
dc.identifier.urihttps://hdl.handle.net/11441/104906
dc.description.abstractThe computation of the sine and cosine functions is required in devices ranging from application-specific signal processors to general purpose floating-point units. Even in the latter case, the required functionality can be reduced to computing the sine and/or cosine of multiples of a constant angle. The latency of a sine/cosine generator can be reduced by using look-up tables. However, a direct implementation with look-up tables may be unfeasible if the input space is huge. In such a case, look-up tables with a number of entries lower than the size of the input space can be used indirectly. In previously published methods, the reduction in the number of table entries is obtained at the expense of increasing the table width and the computational cost. This paper introduces an alternative technique that makes it possible to reduce the size of the look-up tables as well as the required multiplications. The proposed technique can be used to implement sine/cosine generators of huge input space. It has been used to implement several twiddle factor generators in reconfigurable hardware and has enabled the number of look-up tables to be reduced by between 6 and 26% with respect to previous table-based techniques. Also, these implementations are about 50% faster than those based on Volder’s algorithm.es
dc.description.sponsorshipMinisterio de Economía, Industria y Competitividad TIN2017-89951-P (BootTimeIoT)es
dc.formatapplication/pdfes
dc.format.extent21es
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofEURASIP Journal on Advances in Signal Processing, 2020 (art. nº 35)
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectTrigonometric functionses
dc.subjectComputational costes
dc.subjectSignal processinges
dc.subjectDiscrete Fourier transformes
dc.titleUsing the complement of the cosine to compute trigonometric functionses
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Tecnología Electrónicaes
dc.relation.projectIDTIN2017-89951-P (BootTimeIoT)es
dc.relation.publisherversionhttps://link.springer.com/article/10.1186/s13634-020-00692-5es
dc.identifier.doi10.1186/s13634-020-00692-5es
dc.contributor.groupUniversidad de Sevilla. TIC204: Investigación y Desarrollo Digitales
dc.journaltitleEURASIP Journal on Advances in Signal Processinges
dc.publication.volumen2020es
dc.publication.issueart. nº 35es
dc.contributor.funderMinisterio de Economia, Industria y Competitividad (MINECO). Españaes


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