Computation-efficient solution for fully-connected active noise control window: Analysis and implementation of multichannel adjoint least mean square algorithm
The multichannel active noise control (MCANC) system, in which multiple reference sensors
and actuators are used to enlarge the noise-cancellation zone, is widely utilized in complex …
and actuators are used to enlarge the noise-cancellation zone, is widely utilized in complex …
Anti-noise window: Subjective perception of active noise reduction and effect of informational masking
Reviving natural ventilation (NV) for urban sustainability presents challenges for indoor
acoustic comfort. Active control and interference-based noise mitigation strategies, such as …
acoustic comfort. Active control and interference-based noise mitigation strategies, such as …
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 …
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 …
Enhancing active noise control of road noise using deep neural network to update secondary path estimate in real time
JY Oh, HW Jung, MH Lee, KH Lee, YJ Kang - Mechanical Systems and …, 2024 - Elsevier
The performance of active noise control (ANC) is significantly influenced by the accuracy of
the secondary path estimate. In the case of a vehicle, dynamic environments, which …
the secondary path estimate. In the case of a vehicle, dynamic environments, which …
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 …