Noise reduction in telecommunication channels using rough sets and neural networks

Abstract

A new concept of reduction of non-stationary noise affecting audio signals transmitted in telecommunication channels is proposed. This concept exploits some features of the human auditory system as well as some methods originated from soft computing domain, i.e. Rough set-based reasoning and neural processing. The foundations of the engineered method and a description of applied decision algorithms are presented. A number of experiments have been prepared, and some of them have already been carried out. A brief discussion of these experiments' results and some conclusions are also included.