Active Control of Impulsive Noise
نویسندگان
چکیده
This report presents about the comparison of the performance among four different adaptive algorithms for suppressing impulsive noise. They are filtered-x least mean square (FXLMS) algorithm, least mean M-estimate (LMM) algorithm, filtered-x least mean M-estimate (FXLMM) algorithm, and a modified FXLMM algorithm. A designed noise, which is composed of impulsive noise and background noise, is used as the input signal in the simulation. Extensive simulations are executed to demonstrate the effectiveness of these four algorithms. From the convergence speed and stability point of view, FXLMM achieves the best performance among them. Besides, some analysis on the stability and modeling error are presented. ii Acknowledgement
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