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This document analyzes the transient behavior of an adaptive filter that uses least mean square (LMS) adaptation with an error saturation nonlinearity in the presence of impulsive noise. It derives recursive equations to model the time evolution of the mean-square deviation and excess mean-square error when the input data is white and Gaussian and the noise contains both Gaussian and impulsive components. Simulation results show good agreement with the theoretical analysis for different percentages of impul

Author

tpanigrahi

Language

EN