Neuro-fuzzy logic in signal processing for communications: from bits to protocols

Authors:
Ana Pérez-Neira;Miguel A. Lagunas;Antoni Morell;Joan Bas
Affiliations:
Dept. of Signal Theory and Communications, Universitat Politècnica de Catalunya, Barcelona, Spain;Parc Mediterrani de la Tecnologia (PMT), Castelldefels, Barcelona, Spain;Dept. of Signal Theory and Communications, Universitat Politècnica de Catalunya, Barcelona, Spain;Parc Mediterrani de la Tecnologia (PMT), Castelldefels, Barcelona, Spain
Venue:
NOLISP'05 Proceedings of the 3rd international conference on Non-Linear Analyses and Algorithms for Speech Processing
Year:
2005

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Abstract

The present work shows how communication systems benefit from fuzzy logic. From signal processing applications, which process bits at the physical layer in order to face complicate problems of non-Gaussian noise, to practical and robust implementations of these systems and up to higher layers in the communication chain, which are engaged in the protocol design. The ability for modeling uncertainty with a reasonable trade-off between complexity and model accuracy, makes fuzzy logic a promising tool.