{"title":"一种改进的基于互相关的频域盲源分离方法","authors":"Jun Ye, Boling Xu, Feng Liu","doi":"10.1109/ICNNSP.2003.1281127","DOIUrl":null,"url":null,"abstract":"A blind source separation algorithm based on cross-correlation in frequency domain is considered in this paper. Firstly we describe that the variation of the length of signal frame will influence the result of separation. Then the multi-frame size method through multi-stage is introduced to meet the requirements of the length of signal frame in all aspects. However we find that another problem called pseudo-solution also could lead separation to fail, so possible treatments are proposed. Experiments are provided to confirm the validity of this improved method.","PeriodicalId":336216,"journal":{"name":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An improved cross-correlation based method of blind source separation in frequency domain\",\"authors\":\"Jun Ye, Boling Xu, Feng Liu\",\"doi\":\"10.1109/ICNNSP.2003.1281127\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A blind source separation algorithm based on cross-correlation in frequency domain is considered in this paper. Firstly we describe that the variation of the length of signal frame will influence the result of separation. Then the multi-frame size method through multi-stage is introduced to meet the requirements of the length of signal frame in all aspects. However we find that another problem called pseudo-solution also could lead separation to fail, so possible treatments are proposed. Experiments are provided to confirm the validity of this improved method.\",\"PeriodicalId\":336216,\"journal\":{\"name\":\"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICNNSP.2003.1281127\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNNSP.2003.1281127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An improved cross-correlation based method of blind source separation in frequency domain
A blind source separation algorithm based on cross-correlation in frequency domain is considered in this paper. Firstly we describe that the variation of the length of signal frame will influence the result of separation. Then the multi-frame size method through multi-stage is introduced to meet the requirements of the length of signal frame in all aspects. However we find that another problem called pseudo-solution also could lead separation to fail, so possible treatments are proposed. Experiments are provided to confirm the validity of this improved method.