M. de Diego, M. Ferrer, A. González, and G. Piñero, “Efficient Error Vector Calculation in Affine Projection Algorithms for Active Noise Control,” in Proc. AES Convention 118, May 2005, Paper 6433. [Online]. Available: https://aes.org/publications/elibrary-page/?id=13149
de Diego M, Ferrer M, González A, Piñero G. Efficient Error Vector Calculation in Affine Projection Algorithms for Active Noise Control. In: AES Convention 118. Audio Engineering Society; 2005. Paper 6433. Available from: https://aes.org/publications/elibrary-page/?id=13149
@inproceedings{deDiego2005_13149,
author = {de Diego, Maria and Ferrer, Miguel and González, Alberto and Piñero, Gema},
title = {{Efficient Error Vector Calculation in Affine Projection Algorithms for Active Noise Control}},
booktitle = {AES Convention 118},
note = {Paper 6433},
year = {2005},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=13149}
}
TY - CPAPER
TI - Efficient Error Vector Calculation in Affine Projection Algorithms for Active Noise Control
AU - de Diego, Maria
AU - Ferrer, Miguel
AU - González, Alberto
AU - Piñero, Gema
T2 - AES Convention 118
M1 - Paper 6433
PY - 2005
DA - 2005/05/06
UR - https://aes.org/publications/elibrary-page/?id=13149
PB - Audio Engineering Society
LA - en
AB - It is well-known that the affine projection (AP) algorithm shows a good trade-off between computational effort and convergence speed. Nevertheless, the computational complexity of the AP algorithm increases with the projection order and low-computational versions, fast AP (FAP) algorithms, have been previously discussed. In this paper, a new FAP algorithm focused on the fast error vector calculation is proposed for active noise control. The new version uses the classical filtered-x structure instead of the commonly applied modified filtered-x. A comparative practical study of the different strategies has been also carried out and validates the use of the proposed method in ANC systems as an alternative to the previous versions since it provides lower computational cost.
ER -