Acoustic echo cancelation using a pseudo-linear regression and QR-decomposition

In this paper the problem of acoustic echo cancelation is addressed using an adaptive IIR filtering algorithm based on a QR decomposition and a pseudo-linear regression. The proposed algorithm yields a computational complexity of O(N/sup 2/) multiply-accumulates. In echo cancelation simulations it s...

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Bibliographic Details
Published in:1996 IEEE International Symposium on Circuits and Systems Vol. 2; pp. 233 - 236 vol.2
Main Authors: Harteneck, M., Stewart, R.W.
Format: Conference Proceeding
Language:English
Published: IEEE 1996
Subjects:
Acoustic signal processing
Adaptive algorithm
Adaptive filters
Adaptive signal processing
Approximation algorithms
Feedback
Finite impulse response filter
IIR filters
Signal processing algorithms
Telephony
ISBN:9780780330733, 0780330730
Online Access:Get full text
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Summary:In this paper the problem of acoustic echo cancelation is addressed using an adaptive IIR filtering algorithm based on a QR decomposition and a pseudo-linear regression. The proposed algorithm yields a computational complexity of O(N/sup 2/) multiply-accumulates. In echo cancelation simulations it shows fast convergence in single talk and double talk periods, and proves to be stable if the near-end signal and received signal are correlated due to a far-end echo path.
ISBN:9780780330733
0780330730
DOI:10.1109/ISCAS.1996.540395