Distance Measure for Biased Probability Density Functions and Related Equalizer Algorithms for Non-Gaussian Noise 


Vol. 37,  No. 12, pp. 1038-1042, Dec.  2012


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  Abstract

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.

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  Cite this article

[IEEE Style]

N. Kim, "Distance Measure for Biased Probability Density Functions and Related Equalizer Algorithms for Non-Gaussian Noise," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 12, pp. 1038-1042, 2012. DOI: .

[ACM Style]

Namyong Kim. 2012. Distance Measure for Biased Probability Density Functions and Related Equalizer Algorithms for Non-Gaussian Noise. The Journal of Korean Institute of Communications and Information Sciences, 37, 12, (2012), 1038-1042. DOI: .

[KICS Style]

Namyong Kim, "Distance Measure for Biased Probability Density Functions and Related Equalizer Algorithms for Non-Gaussian Noise," The Journal of Korean Institute of Communications and Information Sciences, vol. 37, no. 12, pp. 1038-1042, 12. 2012.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880