RT Journal Article ID 2ca5d3ce0cd3bd82 A1 Bastian, Jose Ambrosio A1 Miyatake, Mariko Nakano A1 Perez-Meana, Hector Manuel T1 Neurofuzzy Algorithm For Channel Equalization JF Telecommunications and Radio Engineering JO TRE YR 2001 FD 2007-03-19 VO 56 IS 4&5 OP 10 AB In this paper a channel equalization method using a neurofuzzy algorithm is proposed, which is based on the SAM (Standard Additive Model) method, employed in Fuzzy Logic for functions approach by using a set of rules if-then. A comparison of the efficiency of the proposed algorithm with those existent, such as the transversal equaliser using LMS, RLS adaptation algorithms, as well as the decision feedback equalizer DFE, is made with similar conditions. The computer simulations show that proposed provides a better performance of in the reduction of the intersymbol interference (ISI) in comparison with traditional algorithms in nonlinear channels. PB Begell House LK https://www.dl.begellhouse.com/journals/0632a9d54950b268,422345a314832522,2ca5d3ce0cd3bd82.html