Line Array Optimization through Innovative Multichannel Filtering

Martignon P, Di Cola M, Chisari L. Line Array Optimization through Innovative Multichannel Filtering. In: AES Convention 147. Audio Engineering Society; 2019. Paper 561. Available from: https://aes.org/publications/elibrary-page/?id=20584

@inproceedings{Martignon2019_20584,
  author = {Martignon, Paolo and Di Cola, Mario and Chisari, Letizia},
  title = {{Line Array Optimization through Innovative Multichannel Filtering}},
  booktitle = {AES Convention 147},
  note = {Paper 561},
  year = {2019},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20584}
}

TY  - CPAPER
TI  - Line Array Optimization through Innovative Multichannel Filtering
AU  - Martignon, Paolo
AU  - Di Cola, Mario
AU  - Chisari, Letizia
T2  - AES Convention 147
M1  - Paper 561
PY  - 2019
DA  - 2019/10/06
UR  - https://aes.org/publications/elibrary-page/?id=20584
PB  - Audio Engineering Society
LA  - en
AB  - Element dependent filtering offers the possibility to optimize the sound coverage of vertical line arrays: distance dependent frequency response, as well as mid-low frequency beaming and air absorption can be partially compensated. Simulation of array elements contributions to venue acoustics is normally the input data for filters calculation, but some phenomena exist in the real world that are hardly addressed by simulations: for example, the dispersion of transducers responses, as well as the acoustic paths atmospheric conditions, among different array elements. This awareness induced us to develop an algorithm with the aim of being robust against these inaccuracies.
ER  -