Spectrum Sensing and AM-FM Decomposition through Synchrosqueezing

K. Vandhana, P. Sowmya, P. Roshni, K. Divya, S. Ashwin, K. Narayanankutty
{"title":"Spectrum Sensing and AM-FM Decomposition through Synchrosqueezing","authors":"K. Vandhana, P. Sowmya, P. Roshni, K. Divya, S. Ashwin, K. Narayanankutty","doi":"10.4236/WET.2013.43020","DOIUrl":null,"url":null,"abstract":"In this paper we have accomplished one of the tasks of cognitive radio i.e. dynamic spectrum sensing by using wavelet based Synchrosqueezing transform [1], a novel technique, which was proposed to analyze a signal in time-frequency plane. The distinctive feature of this transform compared to other techniques is that it enables us to decompose amplitude and frequency modulated signals and allows individual reconstruction of these components. The objective is also to separate the occupied band into amplitude modulated and frequency modulated bands.","PeriodicalId":68067,"journal":{"name":"无线工程与技术(英文)","volume":"04 1","pages":"134-138"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"无线工程与技术(英文)","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.4236/WET.2013.43020","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

In this paper we have accomplished one of the tasks of cognitive radio i.e. dynamic spectrum sensing by using wavelet based Synchrosqueezing transform [1], a novel technique, which was proposed to analyze a signal in time-frequency plane. The distinctive feature of this transform compared to other techniques is that it enables us to decompose amplitude and frequency modulated signals and allows individual reconstruction of these components. The objective is also to separate the occupied band into amplitude modulated and frequency modulated bands.
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
基于同步压缩的频谱感知和AM-FM分解
本文利用基于小波的同步压缩变换([1])这一在时频平面上分析信号的新技术,完成了认知无线电的动态频谱感知任务之一。与其他技术相比,这种变换的独特之处在于,它使我们能够分解幅度和频率调制信号,并允许对这些分量进行单独重建。目的还在于将占用的频带分成调幅频带和调频频带。
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
118
期刊最新文献
On the Effects of Driven Element L/D Ratio and Length in VHF-SHF Yagi-Uda Arrays Enhancing Security in Correlated Nakagami-m Fading Cellular Network Using SC and SSC Diversity Combining Non-Uniform Pitch Helical Resonators for Dual-Passband Filter Design Design of Intelligent Water-Saving Irrigation System Based on Internet of Things Six-Element Yagi Array Designs Using Central Force Optimization with Pseudo Random Negative Gravity
×
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