Title :
Selective-partial-update NLMS and affine projection algorithms for acoustic echo cancellation
Author :
Dogancay, Kutluyil ; Tanrikulu, O.
Author_Institution :
Sch. of Phys. & Electron. Syst. Eng., Univ. of South Australia, Mawson Lakes, SA
Abstract :
Adaptive filters used in acoustic echo cancellation often require a large number of coefficients to model the acoustic echo path with sufficient accuracy. The computational complexity of adaptation algorithms such as the NLMS algorithm is proportional to the filter length, which means that for long filters the adaptation task can become prohibitively expensive. The purpose of partial coefficient update is to reduce the computational complexity by adapting a subset of the filter coefficients at every iteration. In this paper we develop selective-partial-update NLMS and AP algorithms based on the principle of minimum disturbance. The algorithms are based on sound theoretical justification and appear to have good convergence performance as attested to by computer simulations with real speech signals
Keywords :
acoustic filters; acoustic signal processing; adaptive filters; computational complexity; convergence of numerical methods; echo suppression; iterative methods; least mean squares methods; speech processing; acoustic echo cancellation; adaptation algorithms; adaptive filters; affine projection algorithms; computational complexity; convergence; filter length; iteration; minimum disturbance; normalized least mean squares; partial coefficient update; selective-partial-update NLMS; speech signals; Acoustical engineering; Adaptive filters; Computational complexity; Echo cancellers; Finite impulse response filter; Lagrangian functions; Physics; Projection algorithms; Speech; Systems engineering and theory;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.862007