{"title":"A Fast Blind Deconvolution Algorithm Using Decorrelation and Block Matrix","authors":"Jun-an Yang, Xue-ping He, Yunxiao Jiang","doi":"10.1109/ICNC.2007.21","DOIUrl":null,"url":null,"abstract":"In order to alleviate the shortcomings of most blind deconvolution algorithms, this paper proposes an improved fast algorithm for blind deconvolution based on decorrelation technique and broadband block matrix. Althougth the original algorithm proposed in ref (H. Buchner et al., 2003) can overcome the shortcomings of current blind deconvolution algorithms, but it has a constraint that the number of the source signals must be less than that of the channels'. The improved algorithm deletes this constraint by using decorrelation technique. Besides, the improved algorithm raises the separation speed in terms of improving the computing methods of output signals matrix. Simulation results demonstrate the validation and fast separation of the improved algorithm.","PeriodicalId":250881,"journal":{"name":"Third International Conference on Natural Computation (ICNC 2007)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Third International Conference on Natural Computation (ICNC 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICNC.2007.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to alleviate the shortcomings of most blind deconvolution algorithms, this paper proposes an improved fast algorithm for blind deconvolution based on decorrelation technique and broadband block matrix. Althougth the original algorithm proposed in ref (H. Buchner et al., 2003) can overcome the shortcomings of current blind deconvolution algorithms, but it has a constraint that the number of the source signals must be less than that of the channels'. The improved algorithm deletes this constraint by using decorrelation technique. Besides, the improved algorithm raises the separation speed in terms of improving the computing methods of output signals matrix. Simulation results demonstrate the validation and fast separation of the improved algorithm.