{"title":"高阶统计解释的实践回顾。电瞬变特性的应用","authors":"A. Moreno, C. Puntonet","doi":"10.1109/ISPA.2007.4383694","DOIUrl":null,"url":null,"abstract":"In this paper we perform a practical review on higher-order statistics interpretation. Concretely we focus on an unbiased estimate of the 4th-order time-domain cumulants. Some synthetics involving classical noise processes are characterized using this unbiased estimate, with the goal of checking its performance and to provide the scientific community with another result, dealing with the interpretation of this signal processing tool. A real practical example is presented in the field of electrical power quality event analysis. The work also aims to present a set of general advice in order to save memory and gain speed in a real signal processing frame, dealing with non-stationary processes.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"A practical review on Higher-Order Statistics interpretation. Application to Electrical Transients Characterization\",\"authors\":\"A. Moreno, C. Puntonet\",\"doi\":\"10.1109/ISPA.2007.4383694\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we perform a practical review on higher-order statistics interpretation. Concretely we focus on an unbiased estimate of the 4th-order time-domain cumulants. Some synthetics involving classical noise processes are characterized using this unbiased estimate, with the goal of checking its performance and to provide the scientific community with another result, dealing with the interpretation of this signal processing tool. A real practical example is presented in the field of electrical power quality event analysis. The work also aims to present a set of general advice in order to save memory and gain speed in a real signal processing frame, dealing with non-stationary processes.\",\"PeriodicalId\":112420,\"journal\":{\"name\":\"2007 5th International Symposium on Image and Signal Processing and Analysis\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 5th International Symposium on Image and Signal Processing and Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPA.2007.4383694\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 5th International Symposium on Image and Signal Processing and Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPA.2007.4383694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A practical review on Higher-Order Statistics interpretation. Application to Electrical Transients Characterization
In this paper we perform a practical review on higher-order statistics interpretation. Concretely we focus on an unbiased estimate of the 4th-order time-domain cumulants. Some synthetics involving classical noise processes are characterized using this unbiased estimate, with the goal of checking its performance and to provide the scientific community with another result, dealing with the interpretation of this signal processing tool. A real practical example is presented in the field of electrical power quality event analysis. The work also aims to present a set of general advice in order to save memory and gain speed in a real signal processing frame, dealing with non-stationary processes.