{"title":"An image processing based method for stress classification in digital telecommunication networks","authors":"P. Daponte, G. Mercurio, S. Rapuano, G. Truglia","doi":"10.1109/IMTC.2002.1007084","DOIUrl":null,"url":null,"abstract":"The paper faces the problem of the automatic classification of the stresses affecting the quadrature amplitude modulation (QAM). This problem arises when a continuous monitoring system is needed for improving the quality of service (QoS) in communication networks based on such a modulation scheme. In particular, a method based on image processing is proposed. It automatically analyses the constellation diagram and selects the stress actually present through a template matching technique. The results of the first simulations, carried out on signals affected by different stresses and SNRs are presented and discussed. Some experimental results are also shown.","PeriodicalId":141111,"journal":{"name":"IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No.00CH37276)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMTC.2002.1007084","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The paper faces the problem of the automatic classification of the stresses affecting the quadrature amplitude modulation (QAM). This problem arises when a continuous monitoring system is needed for improving the quality of service (QoS) in communication networks based on such a modulation scheme. In particular, a method based on image processing is proposed. It automatically analyses the constellation diagram and selects the stress actually present through a template matching technique. The results of the first simulations, carried out on signals affected by different stresses and SNRs are presented and discussed. Some experimental results are also shown.