Title :
Acoustic echo cancellation using multiple sub-filters
Author :
Sharma, R.N. ; Chaturvedi, A.K. ; Sharma, G.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., Kanpur, India
Abstract :
We present the modeling of the acoustic echo path based on the process segmentation approach. A new algorithm is proposed using the concept of decomposing the long adaptive filter into low order multiple sub-filters. Simulation results show that the decomposed LMS adaptive algorithm significantly improves the convergence rate while keeping the steady state error almost the same as that of the original long adaptive filter.
Keywords :
acoustic signal processing; adaptive filters; echo; echo suppression; least mean squares methods; LMS adaptive algorithm; acoustic echo cancellation; convergence rate; long adaptive filter; multiple subfilters; process segmentation; steady state error; Acoustic reflection; Adaptive algorithm; Adaptive filters; Convergence; Echo cancellers; Finite impulse response filter; Frequency; Loudspeakers; Microphones; Propagation delay;
Conference_Titel :
TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
Print_ISBN :
0-7803-8162-9
DOI :
10.1109/TENCON.2003.1273352