In active sound profiling (ASP), the target is to obtain a certain sound field or profile using similar techniques as in active noise control (ANC). Active sound profiling can be applied to a passenger car, for example, to modify the engine sound in the cabin. A fundamental algorithm in active sound profiling is the command-FXLMS (C-FXLMS) algorithm, which is an extension of the famous FXLMS al...

The FXLMS algorithm, which is extensively used in active noise control, exhibits frequency dependent convergence behavior. This leads to degraded performance for time-varying and multiple frequency signals. A new algorithm called the eigenvalue equalization filtered-x least mean squares (EE-FXLMS) has been developed to overcome this limitation without increasing the computational burden of the ...

This paper proposes two modifications of the filteredx least mean squares (FxLMS) algorithm with improved convergence behavior albeit at the same computational cost of 2M operations per time step as the original FxLMS update. The paper further introduces a generalized FxLMS recursion and establishes that the various algorithms are all of filtered-error form. A choice of the stepsize parameter t...

In high sampling-frequency operation of active noise control (ANC) system the length of the secondary path estimate and the ANC filter are very long. This increases the computational complexity of the conventional filtered-x least mean square (FXLMS) algorithm. To reduce the computational complexity of long order ANC system using FXLMS algorithm, frequency domain block ANC algorithms have been ...

Active noise and vibration control (ANC) has become an important application area for adaptive filters. The most popular adaptive algorithm used for ANC is the Filtered-X LMS (FXLMS) algorithm [1,2]. This algorithm is a modification of the well known LMS algorithm. The reference signal is filtered so as to compensate for filters inherent in the electro-acoustic adaptation loop. These additional...

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 ...

Active vibration control (AVC) can solve many problems. However, structural in underwater vehicles often involves other factors such as complex excitation and path coupling, etc. At present, the traditional algorithm (e.g., multi Filtered-x Least Mean Square, M-FxLMS) usually cannot effectively process multi-frequency coupling effects of multi-secondary path, which will affect its convergence s...

The computational complexity of the virtual FXLMS algorithm is higher than that of the conventional FXLMS algorithm. The additional complexity comes from computation of three secondary path transfer functions (as opposed to one) and a transfer function between the physical and the virtual microphones. The order of these transfer functions may be very high in practical situations where the acous...

This paper represents a short review on active noise control (ANC) with the emphasis on ANC systems implemented by using FxLMS adaptation algorithm. The physical mechanism behind active noise control, based on which local silence zones can be created is detailed. Basic configurations for realization of ANC systems are then introduced. It is shown that FxLMS algorithm has been widely used in dif...

This paper proposes an improved performance cross-updating active noise system with online secondarypath modeling. The existing cross-updating active noise control system comprises three adaptive filters; a noise-control filter, a secondary-path modeling filter, and an adaptive-noisecancelation filter; where FxLMS algorithm is used in adaptation of the noise-control filter. In the proposed meth...