• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
Menu

Optimum Solutions of Minimum Error Entropy Algorithm


Namyong Kim, Gyoo-yeong Lee, Journal of Internet Computing and Services, Vol. 17, No. 3, pp. 19-24, Jun. 2016
10.7472/jksii.2016.17.3.19, Full Text:
Keywords: MEE, MSE, optimum, weight, impulsive, noise

Abstract

The minimum error entropy (MEE) algorithm is known to be superior in impulsive noise environment. In this paper, the optimum solutions and properties of the MEE algorithm are studied in regard to the robustness against impulsive noise. From the analysis of the behavior of optimum weight and factors related with mitigation of influence from large errors, it is revealed that the magnitude controlled input entropy plays the main role of keeping optimum weight of MEE undisturbed from impulsive noise. In the simulation, the optimum weight of MEE is shown to be the same as that of MSE criterion.


Statistics
Show / Hide Statistics

Statistics (Cumulative Counts from November 1st, 2017)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article
[APA Style]
Kim, N. & Lee, G. (2016). Optimum Solutions of Minimum Error Entropy Algorithm. Journal of Internet Computing and Services, 17(3), 19-24. DOI: 10.7472/jksii.2016.17.3.19.

[IEEE Style]
N. Kim and G. Lee, "Optimum Solutions of Minimum Error Entropy Algorithm," Journal of Internet Computing and Services, vol. 17, no. 3, pp. 19-24, 2016. DOI: 10.7472/jksii.2016.17.3.19.

[ACM Style]
Namyong Kim and Gyoo-yeong Lee. 2016. Optimum Solutions of Minimum Error Entropy Algorithm. Journal of Internet Computing and Services, 17, 3, (2016), 19-24. DOI: 10.7472/jksii.2016.17.3.19.