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Neural networks (NNs) are able to give solutions to complex problems in digital communications due to their nonlinear processing, parallel distributed architecture, self-organization, capacity of learning and generalization, and efficient hardware implementation. The pre-distortion being at the center of interest of this paper is one of the possible methods to compensate for HPA nonlinearities. The principle of pre-distortion is to distort the HPA input signal by an additional device called adoi:10.1109/ccnc.2007.98 dblp:conf/ccnc/ZayaniB07 fatcat:hzuj45eq45c5tkcheqj2lf2nla