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25 September 2023 Modeling of colored background noise based on wavelet neural network
Zhan Shi, Bo Li, Zhihua Yang, Xin Qian
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Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127884I (2023) https://doi.org/10.1117/12.3004361
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia
Abstract
The large-scale access of electrical equipment will generate serious noise interference, which affects the reliability of lowvoltage power line system. Establishing accurate noise model is the foundation for improving the anti-noise performance of the system. Therefore, this paper propose a noise extraction and measurement method for colored background noise generated by electrical equipment. The modeling scheme of wavelet neural network is proposed to model the colored background noise. Simulation results show that compared with the model of wavelet Markov chain, the output noise of the proposed model has a relatively consistent variation trend of the actual noise in the time domain waveform and power spectral density, making it more suitable for noise modeling in low-voltage power line communication system.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Zhan Shi, Bo Li, Zhihua Yang, and Xin Qian "Modeling of colored background noise based on wavelet neural network", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127884I (25 September 2023); https://doi.org/10.1117/12.3004361
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KEYWORDS
Background noise
Wavelets
Neural networks
Modeling
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