{"title":"基于卷积神经网络的LDPC码分类","authors":"B. Comar","doi":"10.1109/WOCC48579.2020.9114915","DOIUrl":null,"url":null,"abstract":"This paper discusses the performance of an LDPC code classification system. Three randomly generated binary LDPC codes are created, all having the same codeword size and coderate. Multi-scaled convolutional neural networks are employed to classify codeword streams. High classification accuracies are obtained with relatively small networks.","PeriodicalId":187607,"journal":{"name":"2020 29th Wireless and Optical Communications Conference (WOCC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"LDPC Code Classification using Convolutional Neural Networks\",\"authors\":\"B. Comar\",\"doi\":\"10.1109/WOCC48579.2020.9114915\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper discusses the performance of an LDPC code classification system. Three randomly generated binary LDPC codes are created, all having the same codeword size and coderate. Multi-scaled convolutional neural networks are employed to classify codeword streams. High classification accuracies are obtained with relatively small networks.\",\"PeriodicalId\":187607,\"journal\":{\"name\":\"2020 29th Wireless and Optical Communications Conference (WOCC)\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 29th Wireless and Optical Communications Conference (WOCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WOCC48579.2020.9114915\",\"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 29th Wireless and Optical Communications Conference (WOCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOCC48579.2020.9114915","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
LDPC Code Classification using Convolutional Neural Networks
This paper discusses the performance of an LDPC code classification system. Three randomly generated binary LDPC codes are created, all having the same codeword size and coderate. Multi-scaled convolutional neural networks are employed to classify codeword streams. High classification accuracies are obtained with relatively small networks.
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