Robust phase reversal tone detection using soft computing

Abstract

The paper presents a simple robust algorithm for the recognition of a 2100 Hz tone with periodic phase reversal and the disabling of an echo canceller based on soft computing. The authors have used a novel tool that is able to extract fuzzy knowledge using a hybrid technique based on genetic algorithms and neural networks. The approach proposed, compared with signal detection solutions existing in literature, is certainly more efficient in terms of robustness to channel noise and can therefore be usefully applied in all cases in which signals are to be detected with very low SNRs.