• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
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Performance Enhancement of Algorithms based on Error Distributions under Impulsive Noise


Namyong Kim, Gyoo-yeong Lee, Journal of Internet Computing and Services, Vol. 19, No. 3, pp. 49-56, Jun. 2018
10.7472/jksii.2018.19.3.49, Full Text:
Keywords: components, Error distribution, delta function, Euclidean Distance, Impulsive noise.

Abstract

Euclidean distance (ED) between error distribution and Dirac delta function has been used as an efficient performance criterion in impulsive noise environmentsdue to the outlier-cutting effect of Gaussian kernel for error signal. The gradient of ED for its minimization has two components; for kernel function of error pairs and the other for kernel function of errors. In this paper, it is analyzed that the first component is to govern gathering close together error samples, and the other one is to conduct error-sample concentration on zero. Based upon this analysis, it is proposed to normalize and with power of inputs which are modified by kernelled error pairs or errors for the purpose of reinforcing their roles of narrowing error-gap and drawing error samples to zero. Through comparison of fluctuation of steady state MSE and value of minimum MSE in the results of simulation of multipath equalization under impulsive noise, their roles and efficiency of the proposed normalization method are verified.


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Cite this article
[APA Style]
Kim, N. & Lee, G. (2018). Performance Enhancement of Algorithms based on Error Distributions under Impulsive Noise. Journal of Internet Computing and Services, 19(3), 49-56. DOI: 10.7472/jksii.2018.19.3.49.

[IEEE Style]
N. Kim and G. Lee, "Performance Enhancement of Algorithms based on Error Distributions under Impulsive Noise," Journal of Internet Computing and Services, vol. 19, no. 3, pp. 49-56, 2018. DOI: 10.7472/jksii.2018.19.3.49.

[ACM Style]
Namyong Kim and Gyoo-yeong Lee. 2018. Performance Enhancement of Algorithms based on Error Distributions under Impulsive Noise. Journal of Internet Computing and Services, 19, 3, (2018), 49-56. DOI: 10.7472/jksii.2018.19.3.49.