A hybrid sfanc-fxnlms algorithm for active noise control based on deep learning
The selective fixed-filter active noise control (SFANC) method selecting the best pre-trained
control filters for various types of noise can achieve a fast response time. However, it may …
control filters for various types of noise can achieve a fast response time. However, it may …
What is behind the meta-learning initialization of adaptive filter?—a naive method for accelerating convergence of adaptive multichannel active noise control
Active noise control (ANC) is a typical signal-processing technique that has recently been
utilized extensively to combat the urban noise problem. Although numerous advanced …
utilized extensively to combat the urban noise problem. Although numerous advanced …
A survey on adaptive active noise control algorithms overcoming the output saturation effect
This paper presents a comparison of contemporary algorithms aimed at mitigating the
saturation-induced challenges in active noise control (ANC) systems. The saturation effect …
saturation-induced challenges in active noise control (ANC) systems. The saturation effect …
Delayless generative fixed-filter active noise control based on deep learning and bayesian filter
The selective fixed-filter active noise control (SFANC) method can select suitable pre-trained
control filters to attenuate incoming noises. However, the limited number of pre-trained filters …
control filters to attenuate incoming noises. However, the limited number of pre-trained filters …
Gfanc-kalman: Generative fixed-filter active noise control with cnn-kalman filtering
Selective Fixed-filter Active Noise Control (SFANC) is limited by its selection of a single
candidate from pre-trained control filters. In contrast, Generative Fixed-filter Active Noise …
candidate from pre-trained control filters. In contrast, Generative Fixed-filter Active Noise …
Real-time implementation and explainable AI analysis of delayless CNN-based selective fixed-filter active noise control
The selective fixed-filter active noise control (SFANC) approach can select suitable pre-
trained control filters for different types of noise. With the learning ability of convolutional …
trained control filters for different types of noise. With the learning ability of convolutional …
Active noise control in the new century: The role and prospect of signal processing
Since Paul Leug's 1933 patent application for a system for the active control of sound, the
field of active noise control (ANC) has not flourished until the advent of digital signal …
field of active noise control (ANC) has not flourished until the advent of digital signal …
Implementation of multi-channel active noise control based on back-propagation mechanism
Active noise control (ANC) systems can efficiently attenuate low-frequency noises by
introducing anti-noises to combine with the unwanted noises. In ANC systems, the filtered-x …
introducing anti-noises to combine with the unwanted noises. In ANC systems, the filtered-x …
Gfanc-rl: Reinforcement learning-based generative fixed-filter active noise control
Abstract The recent Generative Fixed-filter Active Noise Control (GFANC) method achieves
a good trade-off between noise reduction performance and system stability. However …
a good trade-off between noise reduction performance and system stability. However …
Performance evaluation of selective fixed-filter active noise control based on different convolutional neural networks
Due to its rapid response time and a high degree of robustness, the selective fixed-filter
active noise control (SFANC) method appears to be a viable candidate for widespread use …
active noise control (SFANC) method appears to be a viable candidate for widespread use …