An Adaptive Asymmetric Parallel Graphic Equalizer Correction Method without Overlapping Frequency Bands

LI Ya; YANG Junjie; FENG Qi; QIN Xianqing

doi:10.11999/JEIT210220

Volume 44 Issue 5

May 2022

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LI Ya, YANG Junjie, FENG Qi, QIN Xianqing. An Adaptive Asymmetric Parallel Graphic Equalizer Correction Method without Overlapping Frequency Bands[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1734-1742. doi: 10.11999/JEIT210220

Citation:

LI Ya, YANG Junjie, FENG Qi, QIN Xianqing. An Adaptive Asymmetric Parallel Graphic Equalizer Correction Method without Overlapping Frequency Bands[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1734-1742. doi: 10.11999/JEIT210220

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An Adaptive Asymmetric Parallel Graphic Equalizer Correction Method without Overlapping Frequency Bands

doi: 10.11999/JEIT210220

1.
School of Electronics and Information, Guangdong Polytechnic Normal University, Guangzhou 510665, China
2.
Guangzhou CHS Electronic Technology Co., Ltd., Guangzhou 510805, China

Funds: The Science and Technology Program of Guangzhou (201904010302), The Scientific Research Project of Department of Education of Guangdong Province (2021ZDZX1079), The Doctoral Scientific Research Startup Fund of Guangdong Polytechnic Normal University (2021SDKYA056)

Received Date: 2021-03-15
Rev Recd Date: 2021-10-20

Available Online: 2021-11-04

Publish Date: 2022-05-25

Abstract

Abstract

In order to solve the problem of low accuracy and low efficiency of car loudspeakers sound field correction, a correction method of adaptive asymmetric parallel graphic equalizer without overlapping frequency bands is proposed in this paper. In the case of the dynamic change of the sound field in the car, the proposed method takes into account the effective equalization range and adaptive gains, rather than the fixed equalization range and given artificially gains in the classical methods. Through the experimental analysis of the measured data, the average number of equalization filters used by the proposed method is about 20% less than the classical methods, whose fitting target gains is more accurate, and the spectrum curve is flatter after correction.
- Car loudspeakers,
- Graphic equalizers,
- Non-overlapping frequency bands,
- Adaptive correction,
- Asymmetric parallel

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References(25)

References

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