Reinforcement Learning-based Generative Fixed-filter Active Noise Control

Real-time Implementation of CNN-based selective fixed-filter active noise control and effectiveness analysis using explainable AI

Unsupervised learning based end-to-end delayless generative fixed-filter active noise control

Generative Fixed-Filter Active Noise Control with CNN-Kalman Filtering

Delayless Generative Fixed-filter Active Noise Control based on Deep Learning and Bayesian Filter

To overcome the limitation and obtain more appropriate control filters, a generative fixed-filter active noise control (GFANC) approach is proposed in this paper. Specifically, various control filt…

This paper proposes a hybrid SFANC-FxNLMS approach to overcome the adaptive algorithm's slow convergence and provide a better noise reduction level than the SFANC method.

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