Title :
Robust phase reversal tone detection using soft computing
Author :
Beritelli, Francesco ; Casale, Salvatore ; Russo, Marco
Author_Institution :
Istituto di Inf. e Telecommun., Catania Univ., Italy
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
Keywords :
echo suppression; fuzzy set theory; genetic algorithms; knowledge acquisition; neural nets; pattern recognition; signal detection; signal processing; channel noise; echo canceller; fuzzy knowledge extraction; genetic algorithms; hybrid technique; neural networks; periodic phase reversal; robust phase reversal tone detection; robustness; signal detection; simple robust algorithm; soft computing; tone recognition; very low SNRs; Additive noise; Echo cancellers; Fuzzy logic; Genetic algorithms; Noise robustness; Phase detection; Signal processing; Signal processing algorithms; Signal to noise ratio; Telecommunication computing;
Conference_Titel :
Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-7126-2
DOI :
10.1109/ISUMA.1995.527761
