Fixed Filter Active Noise Control

Fixed-filter active noise control (ANC) aims to reduce noise using pre-designed filters, offering faster response times and improved stability compared to adaptive ANC methods. Current research focuses on optimizing filter selection and generation, employing techniques like convolutional neural networks (CNNs) and hybrid approaches combining fixed filters with adaptive algorithms (e.g., FxNLMS) to balance speed and accuracy. This approach is significant because it addresses the computational limitations of adaptive ANC, making real-time noise cancellation more feasible for commercial applications and expanding the potential of ANC technology in various noise-sensitive environments.