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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/16054
Title: Acoustic echo cancellation using multiple sub-filters
Authors: Sharma R.N.
Chaturvedi, Ajit Kumar
Sharma G.
Published in: Proceedings of IEEE Region 10 Annual International Conference, Proceedings/TENCON
Abstract: We present the modeling of the acoustic echo path based on 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 same as that of the original long adaptive filter.
Citation: Proceedings of IEEE Region 10 Annual International Conference, Proceedings/TENCON (2003), 393-396. Bangalore
URI: http://repository.iitr.ac.in/handle/123456789/16054
Issue Date: 2003
Keywords: Adaptive filtering
Algorithms
Convergence of numerical methods
Eigenvalues and eigenfunctions
Loudspeakers
Mathematical models
Microphones
Wave filters
Echo cancellers
Hands-free telephony
Process segmentation
Acoustic wave effects
Author Scopus IDs: 7407244198
9333507700
57213751311
Author Affiliations: Sharma, R.N., Department of Electrical Engineering, IIT Kanpur, Kanpur, UP, India
Chaturvedi, A.K., Department of Electrical Engineering, IIT Kanpur, Kanpur, UP, India
Sharma, G., Department of Electrical Engineering, IIT Kanpur, Kanpur, UP, India
Corresponding Author: Sharma, R.N.; Department of Electrical Engineering, IIT Kanpur, Kanpur, UP, India; email: nath@iitk.ac.in
Appears in Collections:Conference Publications [ECE]

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