Hammerstein Spline Adaptive Filtering based on Normalised Least Mean Square Algorithm

被引：0
|
作者：
Prongnuch, Sethakarn [1 ]
Sitjongsataporn, Suchada [2 ]
Wiangtong, Theerayod [3 ]
机构：
[1] Mahanakorn Univ Technol, Fac Engn, Elect Engn Grad Sch, 140 Cheumsamphan Rd, Bangkok 10530, Thailand
[2] Mahanakorn Univ Technol, Fac Engn, Dept Elect Engn, 140 Cheumsamphan Rd, Bangkok 10530, Thailand
[3] King Mongkuts Inst Technol Ladkrabang, Dept Elect Engn, Fac Engn, 1 Chalongkrung Rd, Bangkok 10520, Thailand
来源：
2019 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS (ISPACS) | 2019年
关键词：
IDENTIFICATION;
D O I：
10.1109/ispacs48206.2019.8986401
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes a normalised least mean square algorithm based on Hammerstein spline adaptive filtering. A nonlinear Hammerstein adaptive filters consists of memory-less function modified during learning and the spline control point is automatically controlled by gradient-based method. Simulation results demonstrate that the proposed algorithm exhibits more robust performance compared with the conventional spline adaptive filtering algorithms.
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页数：2
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