{"id":17225,"date":"2002-04-06T00:00:00","date_gmt":"2002-04-06T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/construccion-de-estimadores-suboptimos-de-senales-aleatorias-mediante-desarrollos-en-serie-aproximados\/"},"modified":"2002-04-06T00:00:00","modified_gmt":"2002-04-06T00:00:00","slug":"construccion-de-estimadores-suboptimos-de-senales-aleatorias-mediante-desarrollos-en-serie-aproximados","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/construccion-de-estimadores-suboptimos-de-senales-aleatorias-mediante-desarrollos-en-serie-aproximados\/","title":{"rendered":"Construcci\u00f3n de estimadores sub\u00f3ptimos de se\u00f1ales aleatorias mediante desarrollos en serie aproximados"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Rosa Mar\u00eda Fern\u00e1ndez  Alcal\u00e1 <\/strong><\/h2>\n<p>Se presentan nuevas soluciones al problema de estimaci\u00f3n lineal de m\u00ednimo error en media cuadr\u00e1tica. La metodolog\u00eda utilizada, basada en representaciones en serie aproximadas obtenidas de la aplicaci\u00f3n del m\u00e9todo de rayleigh-ritz, permite la construcci\u00f3n de estimadores sub\u00f3ptimos que pueden ser calculados de forma recursiva. Asimismo, se establece una formulaci\u00f3n unificada de soluciones sub\u00f3ptimas para una clase general de estimadores en el marco de los rkhs.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Construcci\u00f3n de estimadores sub\u00f3ptimos de se\u00f1ales aleatorias mediante desarrollos en serie aproximados<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Construcci\u00f3n de estimadores sub\u00f3ptimos de se\u00f1ales aleatorias mediante desarrollos en serie aproximados <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Rosa Mar\u00eda Fern\u00e1ndez  Alcal\u00e1 <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Ja\u00e9n<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 04\/06\/2002<\/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>Juan  Carlos Ru\u00edz Molina<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Luis Parras guijosa <\/li>\n<li>Ana Mar\u00eda Aguilera del pino (vocal)<\/li>\n<li>Mar\u00eda no Valderrama bonnet (vocal)<\/li>\n<li>Jos\u00e9 Mar\u00eda Caridad  y ocerin (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Rosa Mar\u00eda Fern\u00e1ndez Alcal\u00e1 Se presentan nuevas soluciones al problema de estimaci\u00f3n lineal de m\u00ednimo error en [&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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