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Distance Measure for Biased Probability Density Functions and Related Equalizer Algorithms for Non-Gaussian Noise
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 Title & Authors
Distance Measure for Biased Probability Density Functions and Related Equalizer Algorithms for Non-Gaussian Noise
Kim, Namyong;
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In this paper, a new distance measure for biased PDFs is proposed and a related equalizer algorithm is also derived for supervised adaptive equalization for multipath channels with impulsive and time-varying DC bias noise. From the simulation results in the non-Gaussian noise environments, the proposed algorithm has proven not only robust to impulsive noise but also to have the capability of cancelling time-varying DC bias noise effectively.
Distance measure;Biased;Probability density function;DC bias;impulsive noise;Supervised equalization;
 Cited by
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