In this paper, an efficient normalization based adaptive algorithm is used for active noise control in mechanical systems in order to reject extensive disturbances. The proposed implementations are suitable in applications like various motors, generators, aircrafts, battle field and elevators, etc where noise reduction is very important. In the experiments, the authors used several variants of ...

There are several situations where the conventional ANC using FXLMS algorithm does not perform satisfactory. One such condition is referred as the nonlinear effect in ANC. This paper proposes an efficient novel ANC structure based on functional link artificial neural network, which outperforms the FXLMS algorithm. This has been demonstrated through computer simulation. Index Terms – ANC, nonlin...

In active noise control (ANC) systems, there exists an inherent feedback from the loudspeaker to the primary microphone. Adjoint least mean square (ALMS) algorithm is known to be an alternative to the widely used filtered x LMS (FxLMS) for reducing the computational complexity and memory requirements, especially in the case of multi-channel systems. Further FxLMS algorithm is based on the assum...

Active noise control is a technique to cancel unwanted sound using adjustable secondary sound. In active sound profiling, the target is to obtain a certain sound field or profile and the power over specific frequencies can be altered in a desired way, even by amplifying it. Active sound profiling can be used for increasing the sound quality in a passenger car, for example, by modifying the engi...

This paper concerns Active Noise Control (ANC) of feed-forward multi-channel Filtered-x Least Mean Square (FxLMS) algorithm. The FxLMS algorithm is a preferred algorithm as a controller filter in ANC systems. In spite of its popularity, computational load in multichannel systems is a main drawback. Among the existing solutions to simplify the computations, one is based on the using only one ref...

Several approaches have been introduced in literature for active noise control (ANC) systems. Since FxLMS algorithm appears to be the best choice as a controller filter, researchers tend to improve performance of ANC systems by enhancing and modifying this algorithm. In this paper, the existing FxLMS algorithm is modified which provides a new structure for improving the noise reduction and conv...

For many adaptive noise control systems the Filtered-Reference LMS, known as the FXLMS algorithm is used to update parameters of the control filter. Appropriate adjustment of the step size is then important to guarantee convergence of the algorithm, obtain small excess mean square error, and react with required rate to variation of plant properties or noise nonstationarity. There are several re...

This paper develops a technique for dominant pole localization of the adaptation process, performed by the FxLMS algorithm in active noise control systems. This development results in a new adaptation algorithm, called Filtered Weight FxLMS (FwFxLMS). Similar to the FxLMS, FwFxLMS uses a recursion for updating the weight vector of a transversal ANC controller. However, in the new algorithm, the...

In active noise control (ANC) systems, virtual microphones provide a means of projecting the zone of quiet away from the physical microphone to a remote location. To date, linear ANC algorithms, such as the filtered-x least mean square (FXLMS) algorithm, have been used with virtual sensing techniques. In this paper, a nonlinear ANC algorithm is developed for a virtual microphone by integrating ...

Several approaches have been introduced in literature for active noise control (ANC) systems. Since FxLMS algorithm appears to be the best choice as a controller filter, researchers tend to improve performance of ANC systems by enhancing and modifying this algorithm. In this paper, modification is done in the existing FxLMS algorithm that provides a new structure for improving the tracking perf...