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Random coding theorems and achievable rates for nonlinear additive noise channels are presented. Modeling the channel's nonlinear behavior as a causal, stationary Volterra system, upper bounds on the average error probability are obtained for maximum likelihood and weakly typical set decoding. The proposed bounds are deduced by treating correct decoding regions as subspaces of high concentration measure...
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