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.
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Pérez-Neira, A., Lagunas, M.A., Morell, A., Bas, J. (2006). Neuro-fuzzy Logic in Signal Processing for Communications: From Bits to Protocols. In: Faundez-Zanuy, M., Janer, L., Esposito, A., Satue-Villar, A., Roure, J., Espinosa-Duro, V. (eds) Nonlinear Analyses and Algorithms for Speech Processing. NOLISP 2005. Lecture Notes in Computer Science(), vol 3817. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11613107_2
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DOI: https://doi.org/10.1007/11613107_2
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