Title :
Stabilized fast adaptation algorithms for acoustic echo control
Author_Institution :
Forschungsinst. der Deutschen Bundespost Telekom, Berlin, Germany
Abstract :
A new stabilization measure is developed for three well-known fast recursive least squares algorithms. The stabilization method presented needs only a maximum of one multiplication per iteration step. The simulation results given are based on a typical system identification structure. The simulation results show that all three algorithms without stabilization sooner or later become unstable. The stabilized algorithms remained stable during the entire simulation period of over 106 iteration steps, 32000 of which are represented
Keywords :
adaptive filters; echo suppression; filtering and prediction theory; identification; least squares approximations; stability; acoustic echo control; fast adaptation algorithms; recursive least squares algorithms; simulation; stabilization method; stabilized algorithms; system identification structure; Convergence of numerical methods; Equations; Finite impulse response filter; Least squares methods; Numerical stability; Registers; Resonance light scattering; Roundoff errors; Transversal filters; Virtual manufacturing;
Conference_Titel :
Circuits and Systems, 1992. ISCAS '92. Proceedings., 1992 IEEE International Symposium on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0593-0
DOI :
10.1109/ISCAS.1992.230433
