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A Review on Filtered-X LMS Algorithm

Sakshi Gaur and V. K. Gupta
Inderprastha Engineering College, Sahibabad, India
Abstract—In this review paper, a summary of study on previous research on Filtered-X LMS (FxLMS) algorithm is presented. The review is done on the basis of two parameters- first one is based on improvement in FxLMS algorithm and the second one is applications based review. The main advantage of using FxLMS algorithm is that it is computationally simple like the most commonly used Least Mean Square (LMS) algorithm. In addition it includes secondary path effects. To make the FxLMS algorithm more effective, the secondary path estimation should be more precise and accurate. The main drawback of FxLMS algorithm is its slow convergence speed. The convergence speed of FxLMS algorithm is slower than that of conventional LMS algorithm. For active noise control (ANC) applications, FxLMS algorithm based system is usually preferred since the RLS (recursive least square) algorithm based systems (FxRLS) has more computational requirement and lower convergence speed than FxLMS.
Index Terms—FxLMS, secondary path effect, convergence speed, ANC

Cite: Sakshi Gaur and V. K. Gupta, "A Review on Filtered-X LMS Algorithm," International Journal of Signal Processing Systems, Vol. 4, No. 2, pp. 172-176, April 2016. doi: 10.12720/ijsps.4.2.172-176
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