{"title":"改进了具有系统连接的LT编码","authors":"Van Hoan Tran, K. Lay, Lun-Chung Peng","doi":"10.1109/ICASID.2012.6325333","DOIUrl":null,"url":null,"abstract":"Although belief propagation (BP) algorithm can be used to solve the problem of LT decoding on noisy channels, the system performance turns out to be not very good. In this paper, we introduce one method to improve the system performance of LT soft decoding. The method is using different percent of systematic connections of encoded packets. Simulation results reveal the advantage of the proposed modified LT code over the conventional LT code scheme.","PeriodicalId":408223,"journal":{"name":"Anti-counterfeiting, Security, and Identification","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Modified LT coding with systematic connections\",\"authors\":\"Van Hoan Tran, K. Lay, Lun-Chung Peng\",\"doi\":\"10.1109/ICASID.2012.6325333\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Although belief propagation (BP) algorithm can be used to solve the problem of LT decoding on noisy channels, the system performance turns out to be not very good. In this paper, we introduce one method to improve the system performance of LT soft decoding. The method is using different percent of systematic connections of encoded packets. Simulation results reveal the advantage of the proposed modified LT code over the conventional LT code scheme.\",\"PeriodicalId\":408223,\"journal\":{\"name\":\"Anti-counterfeiting, Security, and Identification\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anti-counterfeiting, Security, and Identification\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASID.2012.6325333\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anti-counterfeiting, Security, and Identification","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASID.2012.6325333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Although belief propagation (BP) algorithm can be used to solve the problem of LT decoding on noisy channels, the system performance turns out to be not very good. In this paper, we introduce one method to improve the system performance of LT soft decoding. The method is using different percent of systematic connections of encoded packets. Simulation results reveal the advantage of the proposed modified LT code over the conventional LT code scheme.