{"title":"一种基于侵蚀的时频分析浓度测量算法","authors":"Jiadong Hu, Xianli Zhou, Mingshuo Zhu","doi":"10.1109/SIPROCESS.2016.7888291","DOIUrl":null,"url":null,"abstract":"During the process of time-frequency (TF) analysis, the TF concentration degree is one of the most important parameters. So far, except for the MSE calculation, a stable and effective concentration measurement (CM) principle is still lacking. In this paper, a new CM principle has been proposed based on image morphology. Employing the erosion with two different algorithms, the information of the best and the worst TF concentrations could be find and a comprehensive evaluation would be given. After a series of simulation experiments, the results confirm that the new CM principle is of better stability and veracity.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A time-frequency analysis concentration measurement algorithm based on erode\",\"authors\":\"Jiadong Hu, Xianli Zhou, Mingshuo Zhu\",\"doi\":\"10.1109/SIPROCESS.2016.7888291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"During the process of time-frequency (TF) analysis, the TF concentration degree is one of the most important parameters. So far, except for the MSE calculation, a stable and effective concentration measurement (CM) principle is still lacking. In this paper, a new CM principle has been proposed based on image morphology. Employing the erosion with two different algorithms, the information of the best and the worst TF concentrations could be find and a comprehensive evaluation would be given. After a series of simulation experiments, the results confirm that the new CM principle is of better stability and veracity.\",\"PeriodicalId\":142802,\"journal\":{\"name\":\"2016 IEEE International Conference on Signal and Image Processing (ICSIP)\",\"volume\":\"12 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.2016.7888291\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPROCESS.2016.7888291","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A time-frequency analysis concentration measurement algorithm based on erode
During the process of time-frequency (TF) analysis, the TF concentration degree is one of the most important parameters. So far, except for the MSE calculation, a stable and effective concentration measurement (CM) principle is still lacking. In this paper, a new CM principle has been proposed based on image morphology. Employing the erosion with two different algorithms, the information of the best and the worst TF concentrations could be find and a comprehensive evaluation would be given. After a series of simulation experiments, the results confirm that the new CM principle is of better stability and veracity.