Polynomial-based filters with polynomial pieces of different lengths for interpolation

D. Babic, M. Renfors
{"title":"Polynomial-based filters with polynomial pieces of different lengths for interpolation","authors":"D. Babic, M. Renfors","doi":"10.1109/ISPA.2003.1296374","DOIUrl":null,"url":null,"abstract":"This contribution presents an idea of polynomial-based filters with segments of different lengths which can be effectively used for sampling rate conversion. For these filters the impulse response is characterized by the following: in each interval of length T/sub n/ the impulse response is expressed as polynomial of low order M, there are all together N intervals, and the impulse response is symmetric around its middle point. In the case of interpolation (decimation), the length of every polynomial segment can be arbitrary integer multiple of input (output) sampling period. In this paper, the effective implementation structure for these filters is derived. The implementation structure is based on the known Farrow structure which is commonly used for implementation of various types of polynomial-based filters. It is also shown that the number of fixed coefficients in the novel structure is the same as in the case of modified and prolonged modified Farrow structure. The novel structure offers tradeoff between filtering requirements and system delay, keeping the number of multipliers unchanged, as it is shown through examples.","PeriodicalId":218932,"journal":{"name":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPA.2003.1296374","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

This contribution presents an idea of polynomial-based filters with segments of different lengths which can be effectively used for sampling rate conversion. For these filters the impulse response is characterized by the following: in each interval of length T/sub n/ the impulse response is expressed as polynomial of low order M, there are all together N intervals, and the impulse response is symmetric around its middle point. In the case of interpolation (decimation), the length of every polynomial segment can be arbitrary integer multiple of input (output) sampling period. In this paper, the effective implementation structure for these filters is derived. The implementation structure is based on the known Farrow structure which is commonly used for implementation of various types of polynomial-based filters. It is also shown that the number of fixed coefficients in the novel structure is the same as in the case of modified and prolonged modified Farrow structure. The novel structure offers tradeoff between filtering requirements and system delay, keeping the number of multipliers unchanged, as it is shown through examples.
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
基于多项式的滤波器,具有不同长度的多项式块用于插值
这一贡献提出了一种基于多项式的滤波器的思想,它具有不同长度的片段,可以有效地用于采样率转换。对于这些滤波器,脉冲响应的特征如下:在每个长度为T/sub n/的区间内,脉冲响应表示为低阶M的多项式,共有n个区间,并且脉冲响应围绕其中间点对称。在插值(抽取)的情况下,每个多项式段的长度可以是输入(输出)采样周期的任意整数倍。本文推导了这些滤波器的有效实现结构。实现结构基于已知的法罗结构,该结构通常用于实现各种类型的基于多项式的滤波器。结果还表明,新结构的固定系数数与修正和延长修正法罗结构的固定系数数相同。这种新颖的结构在滤波需求和系统延迟之间进行了权衡,使乘法器的数量保持不变,如示例所示。
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
Learning semantics in content based image retrieval Timing-free blind multiuser detection for multicarrier DS/CDMA systems with multiple antennas Adaptive weighted median filter using local entropy for ultrasonic image denoising A new 2D adaptive nonlinear filter based on the Lyapunov stability theory Tissue segmentation of multi-channel brain images with inhomogeneity correction
×
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