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If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.
Customer service
All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com
Sale & Press
If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com
Imaginemos que estamos en una habitacin charlando con otras personas y que previamente hemos colocado micrfonos con la intencin de captar cada "voz". Sin embargo, esos micrfonos reciben combinaciones "lineales" de las voces. Cmo podramos recuperar cada una sin tener ninguna informacin ni sobre los interlocutores, ni sobre el modelo de propagacin? La separacin ciega de fuentes tiene la respuesta. En particular, el presente libro se centra en soluciones adaptativas que ajustan los coeficientes del sistema separador mediante recursiones muy sencillas que pueden ser interpretadas desde distintos puntos de vista: Redes de Neuronas Artificiales, Teora de Sistemas Dinmicos, Teora de la Informacin, etc. Se exponen los fundamentos matemticos que hay detrs de los principales algoritmos adaptativos, haciendo hincapi en un aspecto muchas veces olvidado en la literatura: el anlisis de estabilidad.
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