Adaptive IIR Notch Filter with Variable Step Size Plain Gradient Algorithm based on Error Correlation governed by Gradient Accumulation

W. Loedwassana
{"title":"Adaptive IIR Notch Filter with Variable Step Size Plain Gradient Algorithm based on Error Correlation governed by Gradient Accumulation","authors":"W. Loedwassana","doi":"10.1109/ecti-con49241.2020.9158316","DOIUrl":null,"url":null,"abstract":"In another way of a variable step-size adaptive algorithm for an adaptive IIR notch filter, it is proposed in this paper. For the proposed algorithm, the step-size parameter will be adapted based on error autocorrelation criterion governed by gradient accumulation function. With such a scheme, the algorithm is insensitive in several SNR input environments in order that it provides high convergent rate in transient phase and low bias level in steady phase. The simulation results have shown that the proposed algorithm has excellent performance in individual SNR environment.","PeriodicalId":371552,"journal":{"name":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ecti-con49241.2020.9158316","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In another way of a variable step-size adaptive algorithm for an adaptive IIR notch filter, it is proposed in this paper. For the proposed algorithm, the step-size parameter will be adapted based on error autocorrelation criterion governed by gradient accumulation function. With such a scheme, the algorithm is insensitive in several SNR input environments in order that it provides high convergent rate in transient phase and low bias level in steady phase. The simulation results have shown that the proposed algorithm has excellent performance in individual SNR environment.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于梯度累积控制误差相关的自适应变步长IIR陷波滤波器
本文提出了一种用于自适应IIR陷波滤波器的变步长自适应算法。该算法基于梯度累积函数控制的误差自相关准则自适应步长参数。该算法对多种信噪比输入环境不敏感,使其在瞬态阶段具有较高的收敛速度,在稳态阶段具有较低的偏置电平。仿真结果表明,该算法在单个信噪比环境下具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Simple Tunable Biquadratic Digital Bandpass Filter Design for Spectrum Sensing in Cognitive Radio ElectricVehicle Simulator Using DC Drives Comparison of Machine Learning Algorithm’s on Self-Driving Car Navigation using Nvidia Jetson Nano Enhancing CNN Based Knowledge Graph Embedding Algorithms Using Auxiliary Vectors: A Case Study of Wordnet Knowledge Graph A Study of Radiated EMI Predictions from Measured Common-mode Currents for Switching Power Supplies
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1