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dc.contributor.authorCollantes Metola, Juan María
dc.contributor.authorMori Carrascal, Libe
dc.contributor.authorAnakabe Iturriaga, Aitziber
dc.contributor.authorOtegi Urdanpilleta, Nerea
dc.contributor.authorLizarraga Mallo, Ibone
dc.contributor.authorAyllon, Natanael
dc.contributor.authorRamírez Terán, Franco Ariel 
dc.contributor.authorArmengaud, Vicent
dc.contributor.authorSoubercaze-Pun, Geoffroy
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2020-02-20T08:40:59Z
dc.date.available2020-02-20T08:40:59Z
dc.date.issued2019-07
dc.identifier.issn1527-3342
dc.identifier.issn1557-9581
dc.identifier.otherTEC2015-67217-Res_ES
dc.identifier.urihttp://hdl.handle.net/10902/18235
dc.description.abstractThe term <;italic>pole-zero identification<;/italic> refers to obtaining the poles and zeros of a linear (or linearized) system described by its frequency response. This is usually done using optimization techniques (such as least squares, maximum likelihood estimation, or vector fitting) that fit a given frequency response of the linear system to a transfer function defined as the ratio of two polynomials [1], [2]. This kind of linear system identification in the frequency domain has numerous applications in a wide variety of engineering fields, such as mechanical systems, power systems, and electromagnetic compatibility. In the microwave domain, rational approximation is increasingly used to obtain black-box models of complex passive structures for model order reduction and efficient transient simulation. An extensive bibliography on the matter can be found in [3]-[6]. In this article, we focus on a different application of pole-zero identification. We review the different ways in which pole-zero identification can be applied to nonlinear circuit design, for power-amplifier stability analysis, and more. We provide a comprehensive view of recent approaches through illustrative application examples. Other uses for rational-approximation techniques are beyond the scope of this article.es_ES
dc.description.sponsorshipThis work was supported in part by the French Space Agency (CNES) under projects R-S10/TG-0001-019 and R-S14/TG-0001-019; by a joint Ph.D. research grant from CNES and Thales Alenia Space, France; by project TEC2015-67217-R (MINECO/FEDER); and by the Basque Country Government through project IT1104-16.es_ES
dc.format.extent30 p.es_ES
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineers Inc.es_ES
dc.rights© 2019 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 works.es_ES
dc.sourceIEEE Microwave Magazine, 2019, 20(7), 36-54es_ES
dc.titlePole-zero identification: unveiling the critical dynamics of microwave circuits beyond stability analysises_ES
dc.title.alternativeStability analysis with Pole-zero Identification: unveiling the critical dynamics of microwave circuitses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1109/MMM.2019.2909516es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1109/MMM.2019.2909516
dc.type.versionacceptedVersiones_ES


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