一种暂态信号处理的矢量方法

2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA) Pub Date : 2012-07-02 DOI:10.1109/ISSPA.2012.6310462

Florin-Marian Birleanu, I. Candel, C. Ioana, C. Gervaise, A. Serbanescu, G. Serban

{"title":"一种暂态信号处理的矢量方法","authors":"Florin-Marian Birleanu, I. Candel, C. Ioana, C. Gervaise, A. Serbanescu, G. Serban","doi":"10.1109/ISSPA.2012.6310462","DOIUrl":null,"url":null,"abstract":"The detection and characterization of burst signals are challenging tasks for time-frequency analysis, due to their very short duration. This paper investigates in this context the recurrence plot analysis (RPA) method, from which it derives the vector samples processing (VeSP) concept. The paper shows that VeSP is a generic framework that unifies signal processing concepts like histogram and autocorrelation, which it also generalizes and extends. Results of VeSP based tools are provided, concerning detection of transient signals, noise reduction, and frequency estimation.","PeriodicalId":248763,"journal":{"name":"2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"A vector approach to transient signal processing\",\"authors\":\"Florin-Marian Birleanu, I. Candel, C. Ioana, C. Gervaise, A. Serbanescu, G. Serban\",\"doi\":\"10.1109/ISSPA.2012.6310462\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The detection and characterization of burst signals are challenging tasks for time-frequency analysis, due to their very short duration. This paper investigates in this context the recurrence plot analysis (RPA) method, from which it derives the vector samples processing (VeSP) concept. The paper shows that VeSP is a generic framework that unifies signal processing concepts like histogram and autocorrelation, which it also generalizes and extends. Results of VeSP based tools are provided, concerning detection of transient signals, noise reduction, and frequency estimation.\",\"PeriodicalId\":248763,\"journal\":{\"name\":\"2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPA.2012.6310462\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.2012.6310462","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 18

摘要

由于突发信号的持续时间非常短，因此对其进行检测和表征是时频分析的一项具有挑战性的任务。本文在此背景下研究了递归图分析(RPA)方法，并由此衍生出向量样本处理(VeSP)的概念。本文表明，VeSP是一个统一了直方图和自相关等信号处理概念的通用框架，并对其进行了推广和扩展。给出了基于VeSP的工具在瞬态信号检测、降噪和频率估计方面的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A vector approach to transient signal processing

The detection and characterization of burst signals are challenging tasks for time-frequency analysis, due to their very short duration. This paper investigates in this context the recurrence plot analysis (RPA) method, from which it derives the vector samples processing (VeSP) concept. The paper shows that VeSP is a generic framework that unifies signal processing concepts like histogram and autocorrelation, which it also generalizes and extends. Results of VeSP based tools are provided, concerning detection of transient signals, noise reduction, and frequency estimation.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA)

自引率

0.00%

发文量