A. Digulescu, Cindy Bernard, Elena Lungu, I. Candel, C. Ioana, Gabriel Vasile
{"title":"Transient signal characterization using multi-lag phase space analysis","authors":"A. Digulescu, Cindy Bernard, Elena Lungu, I. Candel, C. Ioana, Gabriel Vasile","doi":"10.1109/COMCAS.2015.7360411","DOIUrl":null,"url":null,"abstract":"Transient signals have proved to be difficult to characterize/classify because of their short duration and broad spectrum. Methods based on time-frequency analysis are used for transient detection, but their characterization is limited when it comes to similar signals that have close amplitudes and frequencies. This paper presents the multi-lag phase space analysis, an alternative to the classical approaches for the characterization of transient signals. New tools developed for this method are applied on multi-path acoustic signals which are acquired using an acoustic microphone placed in the center of a facility surrounded by walls. The results are compared with the ones obtained using time-frequency analysis.","PeriodicalId":431569,"journal":{"name":"2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMCAS.2015.7360411","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Transient signals have proved to be difficult to characterize/classify because of their short duration and broad spectrum. Methods based on time-frequency analysis are used for transient detection, but their characterization is limited when it comes to similar signals that have close amplitudes and frequencies. This paper presents the multi-lag phase space analysis, an alternative to the classical approaches for the characterization of transient signals. New tools developed for this method are applied on multi-path acoustic signals which are acquired using an acoustic microphone placed in the center of a facility surrounded by walls. The results are compared with the ones obtained using time-frequency analysis.