Title :
Application of QR-LS algorithm for one-channel and two-channel acoustic echo cancellation
Author :
Tahernezhadi, M. ; Dai, M.
Author_Institution :
Dept. of Electr. Eng., Northern Illinois Univ., DeKalb, IL, USA
Abstract :
This paper employs the fast adaptive QR-based least squares adaptive algorithm for one-channel and two-channel acoustic echo cancellation. Adaptive finite impulse response (FIR) filters are employed to model the acoustic echo paths for one channel and two channels acoustic echo paths. Simulation results conducted attest to fast and effective echo cancellation capability of QR-LS algorithm in acoustic echo cancellation applications
Keywords :
FIR filters; adaptive signal processing; echo suppression; least squares approximations; FIR filters; QR-LS algorithm; acoustic echo cancellation; acoustic echo paths; least squares adaptive algorithm; one channel paths; two channel paths; Acoustic applications; Adaptive algorithm; Adaptive filters; Computational complexity; Computer simulation; Echo cancellers; Finite impulse response filter; Least squares methods; Resonance light scattering; Signal processing algorithms;
Conference_Titel :
Circuits and Systems, 1996., IEEE 39th Midwest symposium on
Conference_Location :
Ames, IA
Print_ISBN :
0-7803-3636-4
DOI :
10.1109/MWSCAS.1996.588039
