Comparison of FxLMS and NFxLMS Algorithms in MATLAB Using Active Vibration Control

The paper presents simulation results of the performance of adaptive filtering algorithms such as Filtered –x Least Mean Square (FxLMS) and the Normalized Filtered-x Least Mean Square (NFxLMS) algorithm using the concept of active vibration control. The FxLMS and NFxLMS algorithms are most popular in adaptive filtering feed-forward control methods. The FxLMS and the NFxLMS are used in order to overcome the disadvantages of conventional Least Mean Square (LMS) algorithm. The MATLAB implementations for both the algorithms are carried out and the parameters such as convergence rate, efficiency, and step size results are compared using the principle of Active Vibration Control.