{"title":"基于并行切分的概率整形分布匹配","authors":"Mengfan Fu, Qiaoya Liu, Xiaobo Zeng, Yiwen Wu, L. Yi, Weisheng Hu, Q. Zhuge","doi":"10.1364/ofc.2020.th1g.2","DOIUrl":null,"url":null,"abstract":"We propose a parallel bisection-based distribution matching for constant composition probabilistic shaping. The number of serial operations can be significantly reduced without performance loss, making it a suitable architecture for large block lengths.","PeriodicalId":173355,"journal":{"name":"2020 Optical Fiber Communications Conference and Exhibition (OFC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Parallel Bisection-Based Distribution Matching for Probabilistic Shaping\",\"authors\":\"Mengfan Fu, Qiaoya Liu, Xiaobo Zeng, Yiwen Wu, L. Yi, Weisheng Hu, Q. Zhuge\",\"doi\":\"10.1364/ofc.2020.th1g.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a parallel bisection-based distribution matching for constant composition probabilistic shaping. The number of serial operations can be significantly reduced without performance loss, making it a suitable architecture for large block lengths.\",\"PeriodicalId\":173355,\"journal\":{\"name\":\"2020 Optical Fiber Communications Conference and Exhibition (OFC)\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 Optical Fiber Communications Conference and Exhibition (OFC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/ofc.2020.th1g.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Optical Fiber Communications Conference and Exhibition (OFC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/ofc.2020.th1g.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Parallel Bisection-Based Distribution Matching for Probabilistic Shaping
We propose a parallel bisection-based distribution matching for constant composition probabilistic shaping. The number of serial operations can be significantly reduced without performance loss, making it a suitable architecture for large block lengths.