Adaptive Filters for Water Level Data Processing

D. Pokrajac, Nataša Reljin, Michael Reiter, Stephanie Stotts, Robert Scarborough, Jelena Nikoli
{"title":"Adaptive Filters for Water Level Data Processing","authors":"D. Pokrajac, Nataša Reljin, Michael Reiter, Stephanie Stotts, Robert Scarborough, Jelena Nikoli","doi":"10.1109/TELSKS.2007.4376002","DOIUrl":null,"url":null,"abstract":"We describe application of adaptive filters on water level data. The original dataset is a time series of 57,127 measurements and consists of water levels measured at two locations along the St. Jones River, Delaware. After data cleansing to recover for missing data and reduce periodic components in the dataset, adaptive filters are applied to remove the influence of upstream water level on the levels measured downstream.","PeriodicalId":350740,"journal":{"name":"2007 8th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 8th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TELSKS.2007.4376002","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

We describe application of adaptive filters on water level data. The original dataset is a time series of 57,127 measurements and consists of water levels measured at two locations along the St. Jones River, Delaware. After data cleansing to recover for missing data and reduce periodic components in the dataset, adaptive filters are applied to remove the influence of upstream water level on the levels measured downstream.
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
水位数据处理的自适应滤波器
介绍了自适应滤波器在水位数据处理中的应用。原始数据集是57127次测量的时间序列,包括在特拉华州圣琼斯河沿岸两个地点测量的水位。在对数据进行清理以恢复缺失数据并减少数据集中的周期性成分后,应用自适应滤波器消除上游水位对下游测量水位的影响。
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
Design of a Broadband Stacked Rectangular MPA with Shorting Pins for GSM-Family and Other Cellular Applications Genetic Algorithms Applied in Fuzzy-Sliding Mode Control of Nonlinear Systems Symbolic Generation of Models for Microwave Software Tools Some Specific Properties of Rician PDF and Possibility of its Application in Modeling of ITS Infrastructures Fading Effects on Turbo-encoded Data
×
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