RUS  ENG
Full version
JOURNALS // Problemy Peredachi Informatsii // Archive

Probl. Peredachi Inf., 2003 Volume 39, Issue 4, Pages 10–29 (Mi ppi312)

This article is cited in 2 papers

Information Theory and Coding Theory

High-Order Asymptotics of the Mutual Information in Nonlinear Non-Gaussian-Noise Channels

E. C. van der Meulena, V. V. Prelovb

a Katholieke Universiteit Leuven
b Institute for Information Transmission Problems, Russian Academy of Sciences

Abstract: Nonlinear channels with non-Gaussian noise where the transmitted signal is a random function of the input signal are considered. Under some assumptions on smoothness and the behavior of tails of the noise density function, higher-order asymptotics of the mutual information between the input and output signals in such channels is obtained, as the mean power of the input signal (or, equivalently, the signal-to-noise ratio) goes to zero.

UDC: 621.391.1:519

Received: 24.10.2002


 English version:
Problems of Information Transmission, 2003, 39:4, 324–340

Bibliographic databases:


© Steklov Math. Inst. of RAS, 2025