Optimum Conditions of Adaptive Equalizers Based on Zero-Error Probability 


Vol. 40,  No. 10, pp. 1865-1870, Oct.  2015


PDF Full-Text
  Abstract

In signal processing, the zero-error probability (ZEP) criterion and related algorithm (MZEP) outperforms MSE-based algorithms and yields superior and stable convergence in impulsive noise environment. In this paper, the analysis of the relationship with MSE criterion proves that ZEP criterion has equivalent optimum solution of MSE criterion. Also this work reveals that the magnitude controlled input of MZEP algorithm plays the role in keeping the optimum solution undisturbed from impulsive noise.

  Statistics
Cumulative Counts from November, 2022
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

[IEEE Style]

N. Kim and G. Lee, "Optimum Conditions of Adaptive Equalizers Based on Zero-Error Probability," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 10, pp. 1865-1870, 2015. DOI: .

[ACM Style]

Namyong Kim and Gyoo-Yeong Lee. 2015. Optimum Conditions of Adaptive Equalizers Based on Zero-Error Probability. The Journal of Korean Institute of Communications and Information Sciences, 40, 10, (2015), 1865-1870. DOI: .

[KICS Style]

Namyong Kim and Gyoo-Yeong Lee, "Optimum Conditions of Adaptive Equalizers Based on Zero-Error Probability," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 10, pp. 1865-1870, 10. 2015.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880