The variable step-size wavelet transform-domain LMS adaptive filter algorithm

被引：0
|
作者：
Abadi, M. Shams Esfand [1 ]
Mesgarani, H. [2 ]
Khademiyan, S. M. [2 ]
机构：
[1] Shahid Rajaee Teacher Training Univ, Fac Elect Engn, POB 16785-163, Tehran, Iran
[2] Shahid Rajaee Teacher Training Univ, Fac Sci, POB 16785-163, Tehran, Iran
来源：
SCIENTIA IRANICA | 2020年 / 27卷 / 03期
关键词：
Wavelet Transform Domain LMS (WTDLMS); Variable step-size; Mean square performance; Stationary; Nonstationary; PERFORMANCE; FAMILY;
D O I：
10.24200/sci.2018.20827
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, the Wavelet Transform-Domain Least-Mean-Squares (WT-DLMSs) adaptive algorithm with Variable Step-Size (VSS) is established. The step-size changes according to the largest decrease of mean square deviation. To keep computational complexity low, the Haar Wavelet Transform (HWT) is utilized as a transform. In addition, the mean square performance analysis of the VSS-WTDLMS is studied in the stationary and nonstationary environments, and the theoretical relations for transient and steady-state performances are established. The simulation results show that the proposed VSS-WTDLMS has a faster convergence rate and lower maladjustment, compared to conventional WTDLMS. The theoretical relations are verified by presenting various experimental results. (C) 2020 Sharif University of Technology. All rights reserved.
引用
收藏
页码：1398 / 1412
页数：15
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