Recursive solution to the Broadband Acoustic Contrast Control with Pressure Matching algorithm

Pages G, Longo R, Simon L, Melon M. Recursive solution to the Broadband Acoustic Contrast Control with Pressure Matching algorithm. In: Convention Paper. Audio Engineering Society; 2025. Paper 10207. Available from: https://aes.org/publications/elibrary-page/?id=22843

@inproceedings{Pages2025_22843,
  author = {Pages, Guilhem and Longo, Roberto and Simon, Laurent and Melon, Manuel},
  title = {{Recursive solution to the Broadband Acoustic Contrast Control with Pressure Matching algorithm}},
  note = {Paper 10207},
  year = {2025},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22843}
}

TY  - CPAPER
TI  - Recursive solution to the Broadband Acoustic Contrast Control with Pressure Matching algorithm
AU  - Pages, Guilhem
AU  - Longo, Roberto
AU  - Simon,Laurent
AU  - Melon, Manuel
M1  - Paper 10207
PY  - 2025
DA  - 2025/05/12
UR  - https://aes.org/publications/elibrary-page/?id=22843
PB  - Audio Engineering Society
LA  - en
AB  - This paper presents a recursive solution to the Broadband Acoustic Contrast Control with Pressure Matching (BACC-PM) algorithm, designed to optimize sound zones systems efficiently in the time domain. Traditional frequency-domain algorithms, while computationally less demanding, often result in non-causal filters with increased pre-ringing, making time-domain approaches preferable for certain applications. However, time-domain solutions typically suffer from high computational costs as a result of the inversion of large convolution matrices. To address these challenges, this study introduces a method based on gradient descent and conjugate gradient descent techniques. By exploiting recursive calculations, the proposed approach significantly reduces computational time compared to direct inversion. Theoretical foundations, simulation setups, and performance metrics are detailed, showcasing the efficiency of the algorithm in achieving high acoustic contrast and low reproduction errors with reduced computational effort. Simulations in a controlled environment demonstrate the advantages of the method.
ER  -