Numerical Approach with Kolmogorov-Smirnov Test for Detection of Impulsive Noise 


Vol. 39,  No. 9, pp. 852-860, Sep.  2014


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  Abstract

This paper proposes an efficient algorithm based on Kolmogorov-Smirnov test to determine the presence of impulsive noise in the given environment. Kolmogorov-Smirnov and Chi-Square tests are known in the literature to serve as a goodness-of-fit test especially for a testing for normality of the distribution. But these algorithms are difficult to implement in practice due to high complexity. The proposed algorithm gives a significant reduction of the computational complexity while decreasing the error probability of hypothesis test, which is shown in the simulation results. Also, it is worth noting that the proposed algorithm is not dependent on the noise environment.

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  Cite this article

[IEEE Style]

H. Oh and H. Nam, "Numerical Approach with Kolmogorov-Smirnov Test for Detection of Impulsive Noise," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 9, pp. 852-860, 2014. DOI: .

[ACM Style]

Hyungkook Oh and Haewoon Nam. 2014. Numerical Approach with Kolmogorov-Smirnov Test for Detection of Impulsive Noise. The Journal of Korean Institute of Communications and Information Sciences, 39, 9, (2014), 852-860. DOI: .

[KICS Style]

Hyungkook Oh and Haewoon Nam, "Numerical Approach with Kolmogorov-Smirnov Test for Detection of Impulsive Noise," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 9, pp. 852-860, 9. 2014.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880