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Título:	Neural nets filters: integrated coding and signaling in communication systems
Autor/a:	Santamaría Pérez, María Eugenia; Lagunas Hernandez, Miguel A.; Cabrera-Bean, Margarita
Otros autores:	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
Abstract:	The authors describe the potential of neural net filters in communication systems. They consider applications of neural networks in those fields associated with communications where time-varying linear systems need to be used; the structure of the neural net considered is the multiple-layer feed-forward network. It is shown that an FIR (finite impulse response) filter with finite representation of its output could be viewed as a two-layer neural net. Experiments on the equalization of nonlinear communication channels with memory are reported, demonstrating the potential of neural networks in integrated tools for signal processing and decoding
Abstract:	Peer Reviewed
Materia(s):	-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació -Filters and filtration -Signal processing -Decoding -Digital filters -Encoding -Filtering and prediction theory -Filtres i filtració -Tractament del senyal
Derechos:	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Tipo de documento:	Artículo - Versión publicada Objeto de conferencia
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