Abstract
An adaptive median LMS algorithm based on a split FIR filter structure is presented. The algorithm has a better tracking capability and a faster convergence rate by means of reducing the eigenvalue spread of the input correlation matrix. The performance of the adaptive system is evaluated in a line enhancement application. It is found that the algorithm is effective in both the suppression of impulsive interference and preservation of edge details of the desired signal.
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