Title :
Performance of noise canceller using adjusted step size LMS algorithm
Author :
Kim, Joonwan ; Poularikas, A.D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Alabama Univ., Huntsville, AL, USA
Abstract :
An adjusted step size LMS (least mean squares) algorithm is proposed for possible improvements in the performance of adaptive FIR filters in nonstationary environments. Nonstationary signals means that the statistical properties of the noise changes in time such as the high frequency channel time variations. In the paper, an adaptive noise canceller is proposed which is based on signal to noise ratio number to adjust the step size. In addition the same algorithm can be used for line enhancement and tracking high frequency channels which is used to provide high data rate in communications.
Keywords :
FIR filters; active noise control; adaptive filters; least mean squares methods; speech processing; adaptive FIR filters; adaptive noise canceller; adjusted step size least mean squares algorithm; high frequency channel; line enhancement; nonstationary environments; nonstationary signals; signal to noise ratio; statistical properties; Adaptive filters; Convergence; Finite impulse response filter; Frequency; Least squares approximation; Microphones; Noise cancellation; Signal to noise ratio; Speech enhancement; Working environment noise;
Conference_Titel :
System Theory, 2002. Proceedings of the Thirty-Fourth Southeastern Symposium on
Print_ISBN :
0-7803-7339-1
DOI :
10.1109/SSST.2002.1027044
