C. Panoiu and M. Panoiu (Romania)
adaptive filtering, signal processing
One of the most common problems in using of adaptive filters is their behavior in condition of application of a large amplitude and short time pulses at the filters’ input. The ALMS mean filter is an OSLMS filter, featured by a good convergence of their coefficients into optimal values, but a low stability of the prediction coefficients. Another OSLMS filter is the MLMS mean filter, featured by greater prediction coefficients stability, but a lower coefficients convergence to the optimal values. In this paper there is presented a new filter which has the both filters’ advantages, by using a weight coefficient for the two kinds of filters. This filter uses a parameter to detect the presence or absence of an impulse in the data window. Depending of the decision taken, the algorithm switches between the application of algorithm MLMS, if the impulse is considered to be inside the window, or of algorithm ALMS if no impulse is detected and more than that depending on the amplitude of impulse the weight of the two filters is choose.
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