Spline Adaptive Filtering based on Variable Leaky Least Mean Square Algorithm

被引：0
|
作者：
Saenmuang, Adisorn [1 ]
Sitjongsataporn, Suchada [2 ]
机构：
[1] Mahanakorn Univ Technol, Elect Engn Grad Program, Fac Engn, 140 Cheumsamphan Rd, Bangkok 10530, Thailand
[2] Mahanakorn Univ Technol, Dept Elect Engn, Fac Engn, Mahanakorn Inst Innovat, 140 Cheumsamphan Rd, Bangkok 10530, Thailand
来源：
2020 8TH INTERNATIONAL ELECTRICAL ENGINEERING CONGRESS (IEECON) | 2020年
关键词：
D O I：
10.1109/iEECON48109.2020.229516
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper conducts a variable leaky least mean square algorithm based on nonlinear adaptive filtering with adaptive lookup table using spline interpolation. A leaky constraint is implemented with a leaky quantized function for adjustment. Proposed algorithm merges a modified variable leaky method with least mean square algorithm for linear and nonlinear network part of spline adaptive filtering in term of fast convergence enhancement. Experimental results show that proposed algorithm can notably perform the convergence rate in comparison with the conventional algorithm.
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页数：4
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