Caracterización de modelos no-lineales casi-estáticos a partir de las formas de onda en régimen de gran señal
| dc.centro | E.T.S.I. Telecomunicación | en_US |
| dc.contributor.author | Pérez-Parras, Sergio Luis | |
| dc.contributor.author | Martín-Guerrero, Teresa María | |
| dc.contributor.author | Baños-Polglase, Juana Daphne | |
| dc.contributor.author | Camacho-Peñalosa, Carlos | |
| dc.date.accessioned | 2018-09-07T09:49:51Z | |
| dc.date.available | 2018-09-07T09:49:51Z | |
| dc.date.created | 2018-09-06 | |
| dc.date.issued | 2018-09-07 | |
| dc.departamento | Ingeniería de Comunicaciones | |
| dc.description.abstract | A method to extract the conduction and displacement components of nonlinear quasi-static current sources controlled by two variables is concisely described. The method is numerically tested by means of two different analytical examples of nonlinear current sources. The obtained results clearly illustrate its performance as well as its potentiality in the nonlinear modelling of FET/HEMT devices | en_US |
| dc.description.sponsorship | Este trabajo ha sido financiado por la Junta de Andalucía por medio del proyecto TIC2012-1237. Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech. | en_US |
| dc.identifier.uri | https://hdl.handle.net/10630/16415 | |
| dc.language.iso | spa | en_US |
| dc.relation.eventdate | 5-7 Septiembre 2018 | en_US |
| dc.relation.eventplace | Granada | en_US |
| dc.relation.eventtitle | XXXIII Simposium Nacional de la Unión Científica Internacional de Radio. URSI 2018 | en_US |
| dc.rights.accessRights | open access | en_US |
| dc.subject | Radio - Congresos | en_US |
| dc.subject.other | Modelos No-lineales | en_US |
| dc.subject.other | Modelos casi-estáticos | en_US |
| dc.subject.other | Modelos FET | en_US |
| dc.title | Caracterización de modelos no-lineales casi-estáticos a partir de las formas de onda en régimen de gran señal | en_US |
| dc.type | conference output | en_US |
| dspace.entity.type | Publication | |
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| relation.isAuthorOfPublication.latestForDiscovery | 46c7a0c8-8e50-4a96-b7d4-a22b718a0723 |
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