{"title":"线性分组码盲识别的改进HWA算法","authors":"Di Mao, Fuqiang Li","doi":"10.1109/ICEICT55736.2022.9908813","DOIUrl":null,"url":null,"abstract":"Hamming-Weight-Analysis (HWA) algorithm has the advantages of simple and fast, and can be widely used in code recognition. In this paper, we propose an improved HWA algorithm for blind recognition of linear block codes. The new algorithm effectively improves the recognition success rate and application scope of the HWA algorithm based on the idea of sliding-window filtering.","PeriodicalId":179327,"journal":{"name":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Improved HWA Algorithm for Blind Recognition of Linear Block Codes\",\"authors\":\"Di Mao, Fuqiang Li\",\"doi\":\"10.1109/ICEICT55736.2022.9908813\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Hamming-Weight-Analysis (HWA) algorithm has the advantages of simple and fast, and can be widely used in code recognition. In this paper, we propose an improved HWA algorithm for blind recognition of linear block codes. The new algorithm effectively improves the recognition success rate and application scope of the HWA algorithm based on the idea of sliding-window filtering.\",\"PeriodicalId\":179327,\"journal\":{\"name\":\"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEICT55736.2022.9908813\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEICT55736.2022.9908813","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An Improved HWA Algorithm for Blind Recognition of Linear Block Codes
Hamming-Weight-Analysis (HWA) algorithm has the advantages of simple and fast, and can be widely used in code recognition. In this paper, we propose an improved HWA algorithm for blind recognition of linear block codes. The new algorithm effectively improves the recognition success rate and application scope of the HWA algorithm based on the idea of sliding-window filtering.