Signal Distortion Identification Using Rough Flow Graphs

摘要

Rough Set Theory has been widely explored in the past decades and many hybrids have been developed as well. In this paper, rough set theory and temporal flow graphs have been used to detect distortions in sinusoidal signals. An episode information system is created in which data are stored in the form of integers, more specifically, 1,-1 and 0. The main objective of this work is to detect different kinds of disturbances that can occur in a specific range of sinusoidal signals. The design of the algorithm for the software was programmed in Java language. Several types of distortions have been tested and the results obtained from the temporal flow graphs show that the different distortions could be identified successfully.