{"title":"用一种新的ICA算法在FPGA上实现盲源分离","authors":"Vinita Singh, V. Somani, J. Manikandan","doi":"10.1109/ICCE-ASIA.2017.8307845","DOIUrl":null,"url":null,"abstract":"Independent Component Analysis (ICA) is considered as a powerful technique to separate individual sources, from a linear mixture of input sources. This has motivated the use of ICA for various consumer and medical applications. A novel Jacobian Matrix rotation based ICA for blind source separation is proposed in this paper. Hardware implementation of proposed ICA algorithm on a Xilinx Virtex-5 FPGA using System Generator Blocksets is proposed and the performance results are reported.","PeriodicalId":202045,"journal":{"name":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"FPGA implementation of blind source separation using a novel ICA algorithm\",\"authors\":\"Vinita Singh, V. Somani, J. Manikandan\",\"doi\":\"10.1109/ICCE-ASIA.2017.8307845\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Independent Component Analysis (ICA) is considered as a powerful technique to separate individual sources, from a linear mixture of input sources. This has motivated the use of ICA for various consumer and medical applications. A novel Jacobian Matrix rotation based ICA for blind source separation is proposed in this paper. Hardware implementation of proposed ICA algorithm on a Xilinx Virtex-5 FPGA using System Generator Blocksets is proposed and the performance results are reported.\",\"PeriodicalId\":202045,\"journal\":{\"name\":\"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-ASIA.2017.8307845\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-ASIA.2017.8307845","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FPGA implementation of blind source separation using a novel ICA algorithm
Independent Component Analysis (ICA) is considered as a powerful technique to separate individual sources, from a linear mixture of input sources. This has motivated the use of ICA for various consumer and medical applications. A novel Jacobian Matrix rotation based ICA for blind source separation is proposed in this paper. Hardware implementation of proposed ICA algorithm on a Xilinx Virtex-5 FPGA using System Generator Blocksets is proposed and the performance results are reported.
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