{"id":103966,"date":"2018-03-11T10:26:46","date_gmt":"2018-03-11T10:26:46","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/improving-the-robustness-of-artificial-olfaction-systems-by-multivariate-signal-processing\/"},"modified":"2018-03-11T10:26:46","modified_gmt":"2018-03-11T10:26:46","slug":"improving-the-robustness-of-artificial-olfaction-systems-by-multivariate-signal-processing","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/barcelona\/improving-the-robustness-of-artificial-olfaction-systems-by-multivariate-signal-processing\/","title":{"rendered":"Improving the robustness of artificial olfaction systems by multivariate signal processing"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Marta Padilla Ferr\u00e1n <\/strong><\/h2>\n<p>Muchos de los sistemas de olfacci\u00f3n artificial (narices electr\u00f3nicas) est\u00e1n basados en matrices de sensores qu\u00edmicos de gases, los cuales presentan ciertas deficiencias derivadas de su falta de robustez. El procesado de se\u00f1al rnultivariante puede ayudar a compensar estas deficiencias, y de esta forma alargarlas penados de tiempo en que el instrumento puede funcionar sin una recalibraci\u00f3n completa. En esta tesis se discute el concepto de robustez en las sistemas de olfacci\u00f3n artificial, especialmente en os modelos de calibraci\u00f3n de dichos instrumentos. Adem\u00e1s, se explora varias t\u00e9cnicas de procesada de se\u00f1al \u00fatiles en sistemas que sufren, espec\u00edficamente, das tipos de problemas: derivas en el tiempo o el fallo de uno o m\u00e1s sensores en una matriz.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Improving the robustness of artificial olfaction systems by multivariate signal processing<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Improving the robustness of artificial olfaction systems by multivariate signal processing <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Marta Padilla Ferr\u00e1n <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Barcelona<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 28\/09\/2010<\/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>Santiago Marco Col\u00e1s<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: krishna Persaud <\/li>\n<li>jacques Nicolas (vocal)<\/li>\n<li>  (vocal)<\/li>\n<li>  (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Marta Padilla Ferr\u00e1n Muchos de los sistemas de olfacci\u00f3n artificial (narices electr\u00f3nicas) est\u00e1n basados en matrices de [&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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