B. G. A. Debail, H. Shaiek, Y. Kerneis, J. M. Boucher, and P. Y. Diquelou, “An Optimized Full-Bandwidth 20Hz-20kHz Digitally Controlled Co-Axial Source,” in Proc. AES Convention 121, Oct. 2006, Paper 6884. [Online]. Available: https://aes.org/publications/elibrary-page/?id=13718
Debail BGA, Shaiek H, Kerneis Y, Boucher JM, Diquelou PY. An Optimized Full-Bandwidth 20Hz-20kHz Digitally Controlled Co-Axial Source. In: AES Convention 121. Audio Engineering Society; 2006. Paper 6884. Available from: https://aes.org/publications/elibrary-page/?id=13718
@inproceedings{Debail2006_13718,
author = {Debail, Bernard G.A. and Shaiek, Hmaied and Kerneis, Yvon and Boucher, Jean Marc and Diquelou, Pierre Yves},
title = {{An Optimized Full-Bandwidth 20Hz-20kHz Digitally Controlled Co-Axial Source}},
booktitle = {AES Convention 121},
note = {Paper 6884},
year = {2006},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=13718}
}
TY - CPAPER
TI - An Optimized Full-Bandwidth 20Hz-20kHz Digitally Controlled Co-Axial Source
AU - Debail, Bernard G.A.
AU - Shaiek, Hmaied
AU - Kerneis, Yvon
AU - Boucher, Jean Marc
AU - Diquelou, Pierre Yves
T2 - AES Convention 121
M1 - Paper 6884
PY - 2006
DA - 2006/10/06
UR - https://aes.org/publications/elibrary-page/?id=13718
PB - Audio Engineering Society
LA - en
AB - In this paper, we address the design considerations of the first four-ways full-bandwidth co-axial loudspeaker system. Unlike conventional co-axial drivers, a special motor configuration has been considered in order to approach a real co-incident source. Practical constraints of moving mass element and cone shape will be shown with reference to the targeted sound radiation characteristics. Dedicated digital signal processing techniques has been implemented in order to optimize relevant parameters such as frequency response, directivity index and radiation patter of the system especially on drivers’ overlap bands. The optimization is obtained by a complex weighting of the crossover filter transfer functions. The optimal weights are obtained with a new routine using the gradient algorithm.
ER -