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Robust FxLMS algorithms with improved convergence performance

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2 Author(s)
Rupp, M. ; Wireless Technol. Res. Dept., Lucent Technol., Holmdel, NJ, USA ; Sayed, A.H.

This paper proposes two modifications of the filtered-x 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 that guarantees faster convergence and conditions for robustness are also derived. Several simulation results are included to illustrate the discussions

Published in:
Speech and Audio Processing, IEEE Transactions on  (Volume:6 ,  Issue: 1 )

Date of Publication: Jan 1998

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