Methods for acoustic signals probability density models estimation in telecommunications audio exchange systems

Abstract

Estimation of models for the distribution probability density of acoustic signals in audio exchange telecommunication systems is carried out because of the need to improve the data transmission efficiency and the efficiency of information exchange in command and control systems. The object of the research are the distribution function models of the acoustic signals and interference probability density with the help of which it becomes possible to create more efficient algorithms for signal processing and more efficient suppression of external acoustic noises and interference in information transmission systems. The aim of the work is to research and develop methods for estimating the models for the distribution of the acoustic signals and interference probability density. The results of the probability density empirical histogram direct and indirect estimates are obtained. The estimation provided for the parameterized approximation of the distribution function of the probability of acoustic signals is considered. The application of algorithms designed on the basis of the methods used for the probability density of acoustic signals estimation increases the signal-to-noise ratio in audio exchange telecommunication systems and, accordingly, raises the reliability of the operational-command information exchange.