{"title":"A time-frequency concentration criterion using grayscale erosion","authors":"Guang-hui Wang, Hao-chen Wang, Mingshuo Zhu","doi":"10.1109/SIPROCESS.2016.7888292","DOIUrl":null,"url":null,"abstract":"A new criterion is proposed in this paper which employs the grayscale erosion to measure the concentration of different time-frequency representations/distributions. In contrast to some widely used Concentration Measures proposed by L. Stankovic and L. Jones, this method combines the both width and peakedness information of the auto-term area. Moreover, it can be used in the multi-component signal analysis when the minimum mean square error criterion is invalid.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"308 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPROCESS.2016.7888292","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
A new criterion is proposed in this paper which employs the grayscale erosion to measure the concentration of different time-frequency representations/distributions. In contrast to some widely used Concentration Measures proposed by L. Stankovic and L. Jones, this method combines the both width and peakedness information of the auto-term area. Moreover, it can be used in the multi-component signal analysis when the minimum mean square error criterion is invalid.
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