A Design Method for Low-Order Accurate Parallel Graphic Equalizers

Li Y, Yang J, Feng Q, Wing-Kuen Ling B. A Design Method for Low-Order Accurate Parallel Graphic Equalizers. J Audio Eng Soc. 2022;70(4):284-293. doi:10.17743/jaes.2021.0066

@article{Li2022_21565,
  author = {Li, Ya and Yang, Junjie and Feng, Qi and Wing-Kuen Ling, Bingo},
  title = {{A Design Method for Low-Order Accurate Parallel Graphic Equalizers}},
  journal = {Journal of the Audio Engineering Society},
  volume = {70},
  number = {4},
  pages = {284--293},
  year = {2022},
  month = apr,
  publisher = {Audio Engineering Society},
  doi = {10.17743/jaes.2021.0066},
  url = {https://doi.org/10.17743/jaes.2021.0066}
}

TY  - JOUR
TI  - A Design Method for Low-Order Accurate Parallel Graphic Equalizers
AU  - Li, Ya
AU  - Yang, Junjie
AU  - Feng, Qi
AU  - Wing-Kuen Ling, Bingo
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 70
IS  - 4
SP  - 284
EP  - 293
PY  - 2022
DA  - 2022/04/06
DO  - 10.17743/jaes.2021.0066
UR  - https://doi.org/10.17743/jaes.2021.0066
PB  - Audio Engineering Society
LA  - en
AB  - Automotive audio graphic equalizers are limited by the cost and hardware resources, so it is hoped that the number of equalization filters should be as few as possible while ensuring the correction effect. To solve this problem, a design method for low-order accurate parallel graphic equalizers is proposed and applied to automotive loudspeakers, which can reduce the number of equalization filters without losing correction accuracy. First the identification of the loudspeaker frequency response range and adaptive calculation of filter target gain settings are proposed for automotive application. Then the filter target gain settings are dynamically selected, and the filter bandwidth is automatically adjusted, which can reduce the number of equalization filters and correct the car loudspeaker sound field with high precision. The experimental results show that under the background of automotive application, the average corrected spectral flatnessmeasure of the proposed method is comparable to the state-of-the-art methods, and the average number of equalization filters is reduced by about 25%.
ER  -