{"title":"气象雷达信号处理中的不变极化参数","authors":"A. Rudiakova, R. Sinitsyn, F. Yanovsky","doi":"10.1109/COMCAS.2015.7360458","DOIUrl":null,"url":null,"abstract":"In this paper we introduce and check a new description of polarimetric parameters that are asymptotically invariant to the group of all monotonous transformations of input signals. In particular, this can give a possibility to estimate pure correlation between polarimetric signals independently on statistical characteristics of initial data. This copula-based approach is applied to signal processing in polarimetric meteorological radar.","PeriodicalId":431569,"journal":{"name":"2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Invariant polarimetric parameters for signal processing in weather radar\",\"authors\":\"A. Rudiakova, R. Sinitsyn, F. Yanovsky\",\"doi\":\"10.1109/COMCAS.2015.7360458\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we introduce and check a new description of polarimetric parameters that are asymptotically invariant to the group of all monotonous transformations of input signals. In particular, this can give a possibility to estimate pure correlation between polarimetric signals independently on statistical characteristics of initial data. This copula-based approach is applied to signal processing in polarimetric meteorological radar.\",\"PeriodicalId\":431569,\"journal\":{\"name\":\"2015 IEEE International Conference on Microwaves, Communications, Antennas and Electronic Systems (COMCAS)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"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.2015.7360458\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","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.2015.7360458","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Invariant polarimetric parameters for signal processing in weather radar
In this paper we introduce and check a new description of polarimetric parameters that are asymptotically invariant to the group of all monotonous transformations of input signals. In particular, this can give a possibility to estimate pure correlation between polarimetric signals independently on statistical characteristics of initial data. This copula-based approach is applied to signal processing in polarimetric meteorological radar.
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