Evaluating the performance of a test-method for statistical independence decision in the context of chaotic signals

Abstract

The current paper addresses the larger field of signal processing, communications and cryptography with an orientation on chaotic signals. We reconsider some aspects concerning the statistical independence issue in the context of chaotic signals. We developed a test tool in order to make decisions without the human observer involvement concerning the statistical independence of two data sets coming out from continuous random variables with a known or unknown probability law.