• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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Robustness to Impulsive Noise of Algorithms based on Cross-Information Potential and Delta Functions


Namyong Kim, Journal of Internet Computing and Services, Vol. 17, No. 2, pp. 11-18, Apr. 2016
10.7472/jksii.2016.17.2.11, Full Text:  HTML
Keywords: cross-information potential, delta function, CIPD, Impulsive noise, robustness

Abstract

In this paper, the optimum weight of the algorithm based on the cross information-potential with the delta functions (CIPD) is derived and its robustness against impulsive noise is studied. From the analysis of the behavior of optimum weight, it is revealed that the magnitude controlling operation for input plays the main role of keeping optimum weight of CIPD stable from the impulsive noise. The simulation results show that the steady state weight of CIPD is equivalent to that of MSE criterion. Also in the simulation environment of impulsive noise, unlike the LMS algorithm based on MSE, the steady state weight of CIPD is shown to be kept stable.


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Cite this article
[APA Style]
Kim, N. (2016). Robustness to Impulsive Noise of Algorithms based on Cross-Information Potential and Delta Functions. Journal of Internet Computing and Services, 17(2), 11-18. DOI: 10.7472/jksii.2016.17.2.11.

[IEEE Style]
N. Kim, "Robustness to Impulsive Noise of Algorithms based on Cross-Information Potential and Delta Functions," Journal of Internet Computing and Services, vol. 17, no. 2, pp. 11-18, 2016. DOI: 10.7472/jksii.2016.17.2.11.

[ACM Style]
Namyong Kim. 2016. Robustness to Impulsive Noise of Algorithms based on Cross-Information Potential and Delta Functions. Journal of Internet Computing and Services, 17, 2, (2016), 11-18. DOI: 10.7472/jksii.2016.17.2.11.