Title :
Adaptive echo cancellation using genetic algorithms
Author :
Al-BaBa, Luaie A. ; Horner, S.L. ; Holls, William ; Crilly, Paul B.
Author_Institution :
Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA
Abstract :
The authors discuss a signal processing method which has been found to be very effective in removing echoes. This method consists of two steps. The first step is to detect and locate the echo signal by using Hilbert transforms. The second step is to remove the echoes by a near optimal subtraction using genetic algorithms. The theory and results of using the Hilbert transform and genetic algorithms for echo cancellation are outlined
Keywords :
echo suppression; genetic algorithms; signal processing; transforms; Hilbert transforms; adaptive echo cancellation; echo signal detection; echo signal location; genetic algorithms; near optimal subtraction; signal processing method; Delay effects; Ear; Echo cancellers; Genetic algorithms; Genetic engineering; Home computing; Humans; Signal processing; Speech; Telephony;
Conference_Titel :
Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0582-5
DOI :
10.1109/IECON.1992.254469
