Title :
Adaptive echo cancellation using least mean mixed-norm algorithm
Author :
Zerguine, A. ; Cowan, C.F.N. ; Bettayeb, M.
Author_Institution :
Dept. of Electron. & Electr. Eng., Loughborough Univ. of Technol., UK
fDate :
5/1/1997 12:00:00 AM
Abstract :
A novel algorithm for echo cancellation is presented in this work. The algorithm consists of simultaneously applying the least mean square (LMS) algorithm to the near-end section of the echo canceller and the least mean fourth (LMF) algorithm to the far-end section. This new scheme results in a substantial performance improvement over the LMS algorithm and other algorithms
Keywords :
adaptive filters; convergence of numerical methods; echo suppression; filtering theory; least mean squares methods; LMF algorithm; LMS algorithm; adaptive echo cancellation; convergence; least mean fourth algorithm; least mean mixed-norm algorithm; least mean square algorithm; Adaptive filters; Convergence; Delay; Echo cancellers; Finite impulse response filter; Least squares approximation; Mean square error methods; Minerals; Petroleum; Resonance light scattering;
Journal_Title :
Signal Processing, IEEE Transactions on
