The LMS (Least-Mean-Square) algorithm, which can obtain the complex transfer function in real-time, allows the changes of noise characteristics and the environment of system, thereby maintaining the convergence performance. Therefore, many algorithms based on the LMS algorithm have been modified to solve for some practical considerations, and the FXLMS (Filtered-X LMS) algorithm has been widely investigated and applied as a feed-forward control scheme for an active control system. In 3-dimensional space system, measurement of the signal (reference and error) is more important than control algorithm. However, almost studies were focused on ANC (Active Noise Control) algorithm. In this paper, FXLMS algorithm is applied to the experiment on th...
The multichannel Filtered-S LMS (FSLMS) algorithm has been used efficiently in nonlinear active nois...
Active noise control (ANC) is the most popular method for attenuating acoustic primary noise or dist...
In this paper, we discuss simulation and experimental study of the application of Least Mean Square ...
The method of the reduction of the duct noise can be classified by the method of passive control and...
Active Noise Control (ANC) uses a secondary source to generate a sound that will cancel an undesired...
Active Noise Control (ANC) uses a secondary source to generate a sound that will cancel an undesired...
This paper proposes the use of the LS-LMS adaptive algorithm for active noise control (ANC) applicat...
In active noise control (ANC) applications the sensor signals feeding the controller may be contamin...
In active noise control (ANC) applications the sensor signals feeding the controller may be contamin...
The paper analyzes the performance of the unconstrained filtered-x LMS (FxLMS) algorithm for active ...
Active noise control (ANC) is an effective noise reduction method capable of reducing unwanted low f...
In active noise control (ANC) applications the sensor signals feeding the controller may be contam...
AbstractSeveral approaches have been introduced for active noise control (ANC) systems. The most pop...
This paper presents a novel active noise control (ANC) based on a robust filtered-x normalized least...
This paper presents a comprehensive overview of the frequency-domain filtered-x least mean-square (F...
The multichannel Filtered-S LMS (FSLMS) algorithm has been used efficiently in nonlinear active nois...
Active noise control (ANC) is the most popular method for attenuating acoustic primary noise or dist...
In this paper, we discuss simulation and experimental study of the application of Least Mean Square ...
The method of the reduction of the duct noise can be classified by the method of passive control and...
Active Noise Control (ANC) uses a secondary source to generate a sound that will cancel an undesired...
Active Noise Control (ANC) uses a secondary source to generate a sound that will cancel an undesired...
This paper proposes the use of the LS-LMS adaptive algorithm for active noise control (ANC) applicat...
In active noise control (ANC) applications the sensor signals feeding the controller may be contamin...
In active noise control (ANC) applications the sensor signals feeding the controller may be contamin...
The paper analyzes the performance of the unconstrained filtered-x LMS (FxLMS) algorithm for active ...
Active noise control (ANC) is an effective noise reduction method capable of reducing unwanted low f...
In active noise control (ANC) applications the sensor signals feeding the controller may be contam...
AbstractSeveral approaches have been introduced for active noise control (ANC) systems. The most pop...
This paper presents a novel active noise control (ANC) based on a robust filtered-x normalized least...
This paper presents a comprehensive overview of the frequency-domain filtered-x least mean-square (F...
The multichannel Filtered-S LMS (FSLMS) algorithm has been used efficiently in nonlinear active nois...
Active noise control (ANC) is the most popular method for attenuating acoustic primary noise or dist...
In this paper, we discuss simulation and experimental study of the application of Least Mean Square ...