{"title":"A comparison of BSS algorithms","authors":"Y. Singh, C. Rai","doi":"10.1109/IJCNN.2001.939484","DOIUrl":null,"url":null,"abstract":"Several gradient-based algorithms exist for performing blind source separation (BSS). In this paper we compare three most popular neural algorithms: EASI, natural gradient and Bell-Sejnowski algorithms. The effectiveness of these algorithms depends upon the nonlinear activation function. These algorithms were evaluated with different nonlinear functions for sub-Gaussian and super-Gaussian sources.","PeriodicalId":346955,"journal":{"name":"IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IJCNN'01. International Joint Conference on Neural Networks. Proceedings (Cat. No.01CH37222)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCNN.2001.939484","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Several gradient-based algorithms exist for performing blind source separation (BSS). In this paper we compare three most popular neural algorithms: EASI, natural gradient and Bell-Sejnowski algorithms. The effectiveness of these algorithms depends upon the nonlinear activation function. These algorithms were evaluated with different nonlinear functions for sub-Gaussian and super-Gaussian sources.
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