Modification Comparisons of the Particle Swarm and Levy Flight Firefly Adaptive DSP Algorithms

W. Jenkins, Magni Hussain
{"title":"Modification Comparisons of the Particle Swarm and Levy Flight Firefly Adaptive DSP Algorithms","authors":"W. Jenkins, Magni Hussain","doi":"10.1109/MWSCAS47672.2021.9531701","DOIUrl":null,"url":null,"abstract":"Previous research results have demonstrated that the bio-inspired Lévy Flight Firefly Algorithm (LFFA) can be effectively used in IIR adaptive filters, non-linear adaptive filters, IIR coupled form adaptive filters, and IIR lattice-ladder adaptive filters. It has recently been shown that the LFFA can be applied to adaptive 2-D McClellan \"unconstrained\" Transform filters so the adaptivity can approximate the frequency domain contours. This paper demonstrates how a special block length modification to the LFFA algorithm produces a 2-D Modified LFFA (2-D MLFFA) that enhances the adaptive convergence rate and lowers the MSE as the 2D-MLFFA converges toward the global minimum MSE.","PeriodicalId":6792,"journal":{"name":"2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)","volume":"7 1","pages":"105-108"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MWSCAS47672.2021.9531701","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Previous research results have demonstrated that the bio-inspired Lévy Flight Firefly Algorithm (LFFA) can be effectively used in IIR adaptive filters, non-linear adaptive filters, IIR coupled form adaptive filters, and IIR lattice-ladder adaptive filters. It has recently been shown that the LFFA can be applied to adaptive 2-D McClellan "unconstrained" Transform filters so the adaptivity can approximate the frequency domain contours. This paper demonstrates how a special block length modification to the LFFA algorithm produces a 2-D Modified LFFA (2-D MLFFA) that enhances the adaptive convergence rate and lowers the MSE as the 2D-MLFFA converges toward the global minimum MSE.
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
粒子群和Levy飞行萤火虫自适应DSP算法的改进比较
已有的研究结果表明,LFFA算法可以有效地应用于IIR自适应滤波器、非线性自适应滤波器、IIR耦合形式自适应滤波器和IIR格梯自适应滤波器。最近的研究表明,LFFA可以应用于自适应二维麦克莱伦“无约束”变换滤波器,因此自适应性可以近似频域轮廓。本文演示了如何对LFFA算法进行特殊的块长度修改,从而产生2-D Modified LFFA (2-D MLFFA),该算法在2D-MLFFA向全局最小MSE收敛时提高了自适应收敛速率并降低了MSE。
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
Hybrid Frequency Domain Simulation Method to Speed-up Analysis of Injection Locked Oscillators SaFIoV: A Secure and Fast Communication in Fog-based Internet-of-Vehicles using SDN and Blockchain Capacitor-Less Memristive Integrate-and-Fire Neuron with Stochastic Behavior Polynomial Filters with Controllable Overshoot In Their Step Transient Responses A low kickback noise and low power dynamic comparator
×
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