Sign-Regressor Wilcoxon and Sign-Sign Wilcoxon

2010 International Conference on Advances in Recent Technologies in Communication and Computing Pub Date : 2010-10-16 DOI:10.1109/ARTCOM.2010.37

U. K. Sahoo, G. Panda, B. Mulgrew

引用次数: 8

Abstract

It is known that sign LMS and sign regressor LMS are faster than LMS. Inspiring from this idea we have proposed sign regressor Wilcoxon and sign-sign wilcoxon which are robust against the outlier present in the desired data and also faster than Wilcoxon and sign Wilcoxon norm. It had applied to varities of linear and nonlinear system identification problems with Gaussian noise and impulse noise present in the desired. The simulation results are compared among Wilcoxon, sign Wilcoxon and proposed sign-sign Wilcoxon and sign-regressor Wilcoxon. From simulation results it has proved that the proposed techniques are robust against outlier in the desired data

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Sign-Regressor Wilcoxon和Sign-Sign Wilcoxon

已知符号LMS和符号回归LMS比LMS更快。从这个想法中得到启发，我们提出了符号回归器Wilcoxon和符号-符号Wilcoxon，它们对期望数据中存在的异常值具有鲁棒性，并且比Wilcoxon和符号Wilcoxon规范更快。该方法已应用于各种具有高斯噪声和脉冲噪声的线性和非线性系统辨识问题。比较了Wilcoxon、符号Wilcoxon和提出的符号Wilcoxon和符号回归Wilcoxon的仿真结果。仿真结果表明，该方法对期望数据中的异常值具有较强的鲁棒性

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

2010 International Conference on Advances in Recent Technologies in Communication and Computing

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