Linear prediction based on higher order statistics by a new criterion

Chong-Yung Chi, Wu-Ton Chen
{"title":"Linear prediction based on higher order statistics by a new criterion","authors":"Chong-Yung Chi, Wu-Ton Chen","doi":"10.1109/SSAP.1992.246827","DOIUrl":null,"url":null,"abstract":"This criterion requires only partial Mth-order cumulants C/sub M,e/(0,k/sub 1/, k/sub 1/, . . ., k/sub M/2-1/, k/sub M/ /sub /2-1/) of the prediction error e(k) where M is even. Theoretically, it is shown that the proposed filter associated with a stationary process x(k) is the same as the conventional correlation based (minimum-phase) LPE filter associated with the nonGaussian signal y(k) (noise-free). Simulation results show that when y(k) is an autoregressive process of known order, the proposed filter works well.<<ETX>>","PeriodicalId":309407,"journal":{"name":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","volume":"21 12","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] IEEE Sixth SP Workshop on Statistical Signal and Array Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSAP.1992.246827","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 criterion requires only partial Mth-order cumulants C/sub M,e/(0,k/sub 1/, k/sub 1/, . . ., k/sub M/2-1/, k/sub M/ /sub /2-1/) of the prediction error e(k) where M is even. Theoretically, it is shown that the proposed filter associated with a stationary process x(k) is the same as the conventional correlation based (minimum-phase) LPE filter associated with the nonGaussian signal y(k) (noise-free). Simulation results show that when y(k) is an autoregressive process of known order, the proposed filter works well.<>
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
基于新准则的高阶统计量线性预测
该准则只需要预测误差e(k)的部分M阶累积量C/下标M,e/(0,k/下标1/,k/下标1/,…,k/下标M/2-1/, k/下标M/ /下标2-1/),其中M为偶数。从理论上讲,表明与平稳过程x(k)相关联的拟议滤波器与与非高斯信号y(k)(无噪声)相关联的传统基于相关的(最小相位)LPE滤波器相同。仿真结果表明,当y(k)为已知阶数的自回归过程时,所提出的滤波器效果良好。
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
Linear prediction based on higher order statistics by a new criterion Fourth-order cumulant structure forcing: application to blind array processing Wideband spatial processing with wavelet transforms Simultaneous CFAR detection and frequency estimation of a sinusoidal signal in noise Least-squares reconstruction of an image from its noisy observations using the bispectrum
×
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