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NGGAN: Noise Generation GAN Based on the Practical Measurement Dataset for Narrowband Powerline Communications
Ying-Ren Chien, Po-Heng Chou, You-Jie Peng, Chun-Yuan Huang, Hen-Wai Tsao, Yu Tsao
https://arxiv.org/abs/2510.01850

NGGAN: Noise Generation GAN Based on the Practical Measurement Dataset for Narrowband Powerline Communications
Capturing comprehensive statistics of nonperiodic asynchronous impulsive noise is a critical issue in enhancing impulse noise processing for narrowband powerline communication (NB-PLC) transceivers. However, existing mathematical noise generative models capture only some of the characteristics of additive noise. Therefore, we propose a generative adversarial network (GAN), called the noise-generation GAN (NGGAN), that learns the complicated characteristics of practically measured noise samples …