Relationship between the nonlinear distortions compensation performance and each parameter of the electro-dynamic loudspeaker system

Natsuki Uesako, Y. Kajikawa
{"title":"Relationship between the nonlinear distortions compensation performance and each parameter of the electro-dynamic loudspeaker system","authors":"Natsuki Uesako, Y. Kajikawa","doi":"10.1109/ICICS.2013.6782773","DOIUrl":null,"url":null,"abstract":"Loudspeaker systems generate nonlinear distortions due to their complex structures. The nonlinear distortions degrade the sound quality. A solution of this problem is to use Mirror filter. Mirror filter is used for the compensation of nonlinear distortions for electro-dynamic loudspeaker systems and is based on the nonlinear differential equations. The design of Mirror filter requires the estimated parameters of a target loudspeaker system. If you obtain the corresponding parameters of a target loudspeaker system and arrange Mirror filter designed using those parameters in front of the loudspeaker, then the nonlinear distortions can be compensated. Hence, the estimated parameters are very important to achieve high compensation performance. In this paper, we examine the relationship between the nonlinear distortions compensation performance and each parameter of the electro-dynamic loudspeaker system. Concretely, we clarify the effects by varying each nonlinear parameter in Mirror filter. Simulation and experimental results demonstrate that the compensation performance for the second order nonlinear distortions depends on a nonlinear parameter of the force factor in loudspeaker systems.","PeriodicalId":184544,"journal":{"name":"2013 9th International Conference on Information, Communications & Signal Processing","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 9th International Conference on Information, Communications & Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICS.2013.6782773","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

Loudspeaker systems generate nonlinear distortions due to their complex structures. The nonlinear distortions degrade the sound quality. A solution of this problem is to use Mirror filter. Mirror filter is used for the compensation of nonlinear distortions for electro-dynamic loudspeaker systems and is based on the nonlinear differential equations. The design of Mirror filter requires the estimated parameters of a target loudspeaker system. If you obtain the corresponding parameters of a target loudspeaker system and arrange Mirror filter designed using those parameters in front of the loudspeaker, then the nonlinear distortions can be compensated. Hence, the estimated parameters are very important to achieve high compensation performance. In this paper, we examine the relationship between the nonlinear distortions compensation performance and each parameter of the electro-dynamic loudspeaker system. Concretely, we clarify the effects by varying each nonlinear parameter in Mirror filter. Simulation and experimental results demonstrate that the compensation performance for the second order nonlinear distortions depends on a nonlinear parameter of the force factor in loudspeaker systems.
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
非线性失真补偿性能与电动扬声器系统各参数的关系
扬声器系统由于其复杂的结构而产生非线性畸变。非线性失真降低了音质。解决这个问题的方法是使用镜像过滤器。反射滤波器是一种基于非线性微分方程的用于补偿电动力扬声器系统非线性畸变的滤波器。镜面滤波器的设计需要对目标扬声器系统的参数进行估计。如果获得目标扬声器系统的相应参数,并在扬声器前布置利用这些参数设计的镜像滤波器,则可以补偿非线性失真。因此,估计参数对于实现高补偿性能非常重要。本文研究了非线性失真补偿性能与电动力扬声器系统各参数之间的关系。具体来说,我们通过改变镜像滤波器中各个非线性参数来阐明其影响。仿真和实验结果表明,二阶非线性失真的补偿性能取决于扬声器系统中力因子的非线性参数。
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
Cubic-based 3-D localization for wireless sensor networks Using PCA algorithm to refine the results of internet traffic identification Recognizing trees at a distance with discriminative deep feature learning A random increasing sequence hash chain and smart card-based remote user authentication scheme Two dimension nonnegative partial least squares for face recognition
×
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