{"id":42441,"date":"1999-01-01T00:00:00","date_gmt":"1999-01-01T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/algoritmos-adaptativos-para-separacion-ciega-de-fuentes\/"},"modified":"1999-01-01T00:00:00","modified_gmt":"1999-01-01T00:00:00","slug":"algoritmos-adaptativos-para-separacion-ciega-de-fuentes","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ciencias-tecnologicas\/algoritmos-adaptativos-para-separacion-ciega-de-fuentes\/","title":{"rendered":"Algoritmos adaptativos para separacion ciega de fuentes."},"content":{"rendered":"<h2>Tesis doctoral de <strong> Adriana Dapena Janeiro <\/strong><\/h2>\n<p>La separaci\u00f3n ciegsa de fuentes consiste en la recuperaci\u00f3n de un conjunto de se\u00f1ales originales (fuentes) a partir de mezclas lineales de ellas. Este problema aparece en numerosas aplicaciones de procesado de se\u00f1al como procesado en array, comunicaciones multiusuario y reconstrucci\u00f3n de voz.  un primera parte de la tesis doctoral esta dedicada al estudio de la estabilidad de algoritmos adaptativos propuestos por otros autores. El estudio ha permitido determinar condiciones suficientes que aseguran que los puntos donde se consigue la perfecta recuperaci\u00f3n de las fuentes son atractores de los algoritmos.  en la tesis tambi\u00e9n se propone una nueva familia de algoritmos adaptativos que permiten realizar la de coste que utilizan estad\u00edsticos de segundo y cuarto orden. se ha realizado un an\u00e1lisis completo demostrado que los puntos donde se consigue la separaci\u00f3n son atractores y que no existen puntos indeseados que puedan da\u00f1ar la convergencia de los algoritmos. Hasta la fecha de ninguna otra familia de algoritmos adaptativos para separaci\u00f3n ciega de fuentes se ha podido demostrar que est\u00e9 libre de atractores indeseados.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Algoritmos adaptativos para separacion ciega de fuentes.<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Algoritmos adaptativos para separacion ciega de fuentes. <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Adriana Dapena Janeiro <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 A coru\u00f1a<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 01\/01\/1999<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Luis Castedo Ribas<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: an\u00edbal ram\u00f3n Figueiras vidal <\/li>\n<li>odile Macchi (vocal)<\/li>\n<li>Miguel angel Lagunas hern\u00e1ndez (vocal)<\/li>\n<li>domingo Docampo amoedo (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Adriana Dapena Janeiro La separaci\u00f3n ciegsa de fuentes consiste en la recuperaci\u00f3n de un conjunto de se\u00f1ales [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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