期刊名称：Journal of Emerging Trends in Computing and Information Sciences
电子版ISSN：2079-8407
出版年度：2012
卷号：3
期号：11
页码：1506-1508
出版社：ARPN Publishers
摘要：In this paper, we discuss and analyze two variable step-size adaptive algorithms in which the performance is reduced when input signal are highly correlated with each other. As a result, we propose an uncorrelated variable step-size LMS adaptive algorithm in order to overcome that shortcoming. The main idea of this algorithm is to pretreat input signal by decor relation then use this pretreated signal to update weight vector of the adaptive filter. Due to the theory of correlation, the algorithm can achieve good convergence rate. Finally, the simulations are consistent with the theoretical analysis.
