Analysis of audio signal self-similarity properties based on differential and integrating algorithms of fractional order

In this paper audio signal self-similarity based on differential and integrating algorithms of fraction order has been researched. In algorithms the moving sums and the moving differences describing low-frequency and high-frequency filtering of the input audio signal accordingly have been used. The frequency transfer constants of appropriate filters have been raised to the fractional order. Some results of computer simulation of transformations have been presented.