{"title":"Bussgang Gaussianity test for stationary series","authors":"G. Giunta, G. Jacovitti, G. Scarano","doi":"10.1109/HOST.1997.613562","DOIUrl":null,"url":null,"abstract":"In this contribution we develop a procedure for deciding whether a finite segment of a signal can be considered as a realization of a Gaussian process or not. We first present the theoretical bases leading to the formulation of the Bussgang test. A novel test based on the sign nonlinearity is introduced and its performance analysed in comparison with two simple Gaussianity tests presented in the literature. The results have shown a very promising behaviour of the suggested method in the presence of small amount of available data in both the cases of white and correlated samples.","PeriodicalId":305928,"journal":{"name":"Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"31 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HOST.1997.613562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
In this contribution we develop a procedure for deciding whether a finite segment of a signal can be considered as a realization of a Gaussian process or not. We first present the theoretical bases leading to the formulation of the Bussgang test. A novel test based on the sign nonlinearity is introduced and its performance analysed in comparison with two simple Gaussianity tests presented in the literature. The results have shown a very promising behaviour of the suggested method in the presence of small amount of available data in both the cases of white and correlated samples.