Novel Least Mean Square Algorithm

被引：0
|
作者：
Krishna, B. T. [1 ]
机构：
[1] Jawaharlal Nehru Technol Univ Kakinada, Univ Coll Engn Vizianagaram, Dept Elect & Commun Engn, Vizianagaram 535003, Andhra Pradesh, India
来源：
2016 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ISPACS) | 2016年
关键词：
Digital differentiator; Adaptive Filters; Steepest Descent Algorithm; LMS algorithm; System Identification;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A Novel Least Mean Square(LMS) algorithm using First order Al-Alaoui differentiator is proposed. The condition for stability is also derived. The performance of the novel technique is compared with existing algorithms by taking an example. The results prove the efficacy of the proposed Algorithm.
引用
收藏
页码：153 / 156
页数：4
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