Title :
An efficient implementation of the modified filtered-X LMS algorithm
Author :
Douglas, Scott C.
Author_Institution :
Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT, USA
Abstract :
The filtered-X LMS algorithm used in active noise control applications suffers from slow convergence due in part to the output delay caused by the secondary path of the system. In this letter, we provide a computationally efficient method for removing this output delay within the error signal used to update the controller coefficients, such that the standard LMS algorithm is effectively employed.
Keywords :
acoustic signal processing; active noise control; adaptive filters; adaptive signal processing; computational complexity; convergence of numerical methods; delays; least mean squares methods; active noise control applications; computationally efficient method; controller coefficients; convergence; efficient implementation; error signal; modified filtered-X LMS algorithm; output delay; secondary path; Acoustic signal processing; Active noise reduction; Adaptive filters; Control systems; Convergence; Delay effects; Error correction; Finite impulse response filter; Least squares approximation; Signal processing algorithms;
Journal_Title :
Signal Processing Letters, IEEE
