DocumentCode
2638421
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
Volume
1
fYear
2003
fDate
15-17 Oct. 2003
Firstpage
393
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;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2003. Conference on Convergent Technologies for the Asia-Pacific Region
Print_ISBN
0-7803-8162-9
Type
conf
DOI
10.1109/TENCON.2003.1273352
Filename
1273352
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