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Center for Nonlinear Studies |
Channel capacity is the amount of discrete information bits that can be reliably transmitted over a channel. This characteristic plays a major role in describing real communication systems. Information theory, developed by Shannon in later 40's provided a rigorous mathematical way for the computation of capacity. This computation was successfully performed for all kinds of linear channels. However, nowadays communication systems usually operate in nonlinear regime, so it is important to understand the role of nonlinear effects from the point of view of the information theory. We present a qualitative analysis of the impact of nonlinearity on the channel capacity and propose different ways to analyze the corresponding problem.