Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals

Kernel Methods for Nonlinear Identification, Equalization and Separation of Signals

En la última década, los métodos kernel (métodos núcleo) han demostrado ser técnicas muy eficaces en la resolución de problemas no lineales. Parte de su éxito puede atribuirse a su sólida base matemática dentro de los espacios de Hilbert generados por funciones kernel ("reproducing kernel Hilbe...

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Bibliographic Details
Main Author:	Vaerenbergh, Steven Van
Other Authors:	Santamaría Caballero, Ignacio
Format:	Doctoral Thesis
Language:	English
Published:	Universidad de Cantabria 2010
Subjects:	spectral clustering multiple-input multiple-output systems (MIMO) blind equalization of nonlinear systems identification of nonlinear systems signal processing kernel methods machine learning análisis de correlaciones canónicas con kernels separación ciega de fuentes post no lineal filtrado adaptativo mediante Kernels agrupamiento espectral sistemas de múltiples entradas y múltiples salidas igualación ciega de sistemas no lineales identificación de sistemas no lineales procesado de señal métodos kernel aprendizaje máquina kernel adaptive filtering postnonlinear blind source separation (BSS) adaptive kernel canonical correlation analysis Teoría de la Señal y Comunicaciones 512 621.3
Online Access:	http://hdl.handle.net/10803/10673 http://nbn-resolving.de/urn:isbn:9788469306444

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