Rapidly-Converging Series Representations of a Mutual-Information Integral

Abstract EN

This paper evaluates a mutual-information integral that appears in EXIT-chart analysis and the capacity equation for the binary-input AWGN channel.

Rapidly-converging series representations are derived and shown to be computationally efficient.

Over a wide range of channel signal-to-noise ratios, the series are more accurate than the Gauss-Hermite quadrature and comparable to Monte Carlo integration with a very large number of trials.