Selective fixed-filter active noise control based on convolutional neural network
Active noise control (ANC) technology is increasingly ubiquitous in wearable audio devices,
or hearables. Owing to its low computational complexity, high robustness, and exemplary …
or hearables. Owing to its low computational complexity, high robustness, and exemplary …
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 …
Feedforward selective fixed-filter active noise control: Algorithm and implementation
Conventional real-time active noise control (ANC) usually employs the adaptive filtered-x
least mean square (FxLMS) algorithm to approach optimum coefficients for the control filter …
least mean square (FxLMS) algorithm to approach optimum coefficients for the control filter …
Adaptive-gain algorithm on the fixed filters applied for active noise control headphone
Active noise control (ANC) headphones are commonly used to reduce annoyed noise
around users' ears. Most commercial ANC headphones utilize specific filters with pre-trained …
around users' ears. Most commercial ANC headphones utilize specific filters with pre-trained …
Multichannel two-gradient direction filtered reference least mean square algorithm for output-constrained multichannel active noise control
Multichannel active noise control is a proven and long-standing technique for achieving a
large zone of quiet in enclosures and open spaces. In practice, the multichannel active noise …
large zone of quiet in enclosures and open spaces. In practice, the multichannel active noise …
A frequency-domain output-constrained active noise control algorithm based on an intuitive circulant convolutional penalty factor
Due to their computational efficiency, least mean square (LMS)–based algorithms are still
widely utilized to achieve optimal control in active noise control (ANC) applications. Real …
widely utilized to achieve optimal control in active noise control (ANC) applications. Real …
Selective fixed-filter active noise control based on frequency response matching in headphones
Most active noise control (ANC) headphones operate with a fixed-filter method. When the
directions or spectral characteristics of the primary noise fluctuate significantly, the fixed filter …
directions or spectral characteristics of the primary noise fluctuate significantly, the fixed filter …
A numerically stable constrained optimal filter design method for multichannel active noise control using dual conic formulation
In practical active noise control (ANC) applications, various constraints are usually required,
for example, the disturbance enhancement constraint, the robust stability constraint, and the …
for example, the disturbance enhancement constraint, the robust stability constraint, and the …
Optimal penalty factor for the MOV-FxLMS algorithm in active noise control system
The minimum output variance filtered reference least mean square (MOV-FxLMS) algorithm
is a effective algorithm that utilizes the penalty mechanism to help the active noise control …
is a effective algorithm that utilizes the penalty mechanism to help the active noise control …
Constrained optimal filter design for multi-channel active noise control via convex optimization
In many practical multi-channel active noise control (ANC) applications, various constraints
need to be satisfied, such as stability, enhancement, etc. One way to enforce these …
need to be satisfied, such as stability, enhancement, etc. One way to enforce these …