J. A. Beracoechea, F. J. Casajús-Quirós, L. García Morales, and S. Torres-Guijarro, “Conjugate Gradient Techniques for Multichannel Acoustic Echo Cancellation in Frequency Domain,” in Proc. AES Convention 120, May 2006, Paper 6713. [Online]. Available: https://aes.org/publications/elibrary-page/?id=13517
Beracoechea JA, Casajús-Quirós FJ, García Morales L, Torres-Guijarro S. Conjugate Gradient Techniques for Multichannel Acoustic Echo Cancellation in Frequency Domain. In: AES Convention 120. Audio Engineering Society; 2006. Paper 6713. Available from: https://aes.org/publications/elibrary-page/?id=13517
@inproceedings{Beracoechea2006_13517,
author = {Beracoechea, Jon Ander and Casajús-Quirós, Francisco Javier and García Morales, Lino and Torres-Guijarro, Soledad},
title = {{Conjugate Gradient Techniques for Multichannel Acoustic Echo Cancellation in Frequency Domain}},
booktitle = {AES Convention 120},
note = {Paper 6713},
year = {2006},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=13517}
}
TY - CPAPER
TI - Conjugate Gradient Techniques for Multichannel Acoustic Echo Cancellation in Frequency Domain
AU - Beracoechea, Jon Ander
AU - Casajús-Quirós, Francisco Javier
AU - García Morales, Lino
AU - Torres-Guijarro, Soledad
T2 - AES Convention 120
M1 - Paper 6713
PY - 2006
DA - 2006/05/06
UR - https://aes.org/publications/elibrary-page/?id=13517
PB - Audio Engineering Society
LA - en
AB - Multichannel acoustic cancellation problem requires working with extremely large impulse responses. Multirate adaptive schemes such as the partitioned block frequency-domain adaptive filter (PBFDAF) are good alternatives and are widely used in commercial echo cancellation systems nowadays. However, being a Least Mean Square (LMS) derived algorithm, the convergence speed may not be fast enough under some circumstances. In this paper we propose a new scheme which combines frequency-domain adaptive filtering with conjugate gradient techniques in order to speed up the convergence time. The new algorithm (PBFDAF-CG) is developed and its behavior is compared against previous PBFDAF schemes.
ER -