{"id":24670,"date":"2003-11-07T00:00:00","date_gmt":"2003-11-07T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/ecualizacion-adaptativa-multicanal-para-control-activo-de-ruido-interior\/"},"modified":"2003-11-07T00:00:00","modified_gmt":"2003-11-07T00:00:00","slug":"ecualizacion-adaptativa-multicanal-para-control-activo-de-ruido-interior","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/politecnica-de-valencia\/ecualizacion-adaptativa-multicanal-para-control-activo-de-ruido-interior\/","title":{"rendered":"Ecualizaci\u00f3n adaptativa multicanal para control activo de ruido interior"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Mar\u00eda De Diego Ant\u00f3n <\/strong><\/h2>\n<p>El objetivo de esta tesis es el desarrollo e implementaci\u00f3n de un sistema multicanal de ecualizaci\u00f3n activa de ruido multifrecuencia en un entorno local que permita controlar de forma independiente cada frecuencia de la se\u00f1al primaria, amplificando o atenuando su nivel, de forma que se conforme el espectro del campo ac\u00fastico con un perfil determinado en el volumen del espacio controlado. El modelado del campo ac\u00fastico de ruido interior multifrecuencia se consigue mediante la aplicaci\u00f3n de diversas estrategias. en primer lugar la estrategia de control aplicada se basa en el desarrollo de algoritmos ecualizadores activos de ruido (ear); la estrategia a medidas en el sistema, novedosa por su implementaci\u00f3n, permite conocer la percepci\u00f3n sonora de un oyente en el interior del recinto considerando posibles movimientos de la cabeza, y finalmente, esa sensaci\u00f3n ac\u00fastica es interpretada y analizada mediante la estrategia de medida de la calidad del sonido, que se sirve de la psicoac\u00fastica para determinar la sensaci\u00f3n subjetiva que el oyente percibe en funci\u00f3n del campo ac\u00fastico.  la estrategia de control comentada utiliza algoritmos de ecualizaci\u00f3n activa de ruido multifrecuencia (earmf) en su versi\u00f3n multicanal, que permiten hasta cierto punto conformar el espectro de ruido con unperfil determinado. estos algoritmos contrastan con los tradicionales algoritmos de cancelaci\u00f3n de banda estrecha, concretamente el algoritmo de filtrado-x lms y su versi\u00f3n multicanal, el algoritmo multiple error lms (melms), que son las estrategias de filtrado adaptativo  m\u00e1s utilizadas en los canceladores activos, y que \u00fanicamente permiten atenuar el ruido, eliminando las componentes espectrales, m\u00e1s significativas de la se\u00f1al de ruido primaria para frecuencias inferiores a 500 hz. A partir del algoritmo de earmf presentado por kuo et al., Se presenta en la tesis su extensi\u00f3n multicanal, as\u00ed como una modificaci\u00f3n del mismos denominada earmf nov<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Ecualizaci\u00f3n adaptativa multicanal para control activo de ruido interior<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Ecualizaci\u00f3n adaptativa multicanal para control activo de ruido interior <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Mar\u00eda De Diego Ant\u00f3n <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Valencia<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 11\/07\/2003<\/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>Alberto Gonz\u00e1lez Salvador<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: enrique Masgrau <\/li>\n<li>Antonio Pena (vocal)<\/li>\n<li>Jos\u00e9 Javier Lopez monfort (vocal)<\/li>\n<li>pedro Cobo parra (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Mar\u00eda De Diego Ant\u00f3n El objetivo de esta tesis es el desarrollo e implementaci\u00f3n de un sistema [&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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