{"title":"通信系统信道均衡中的模糊逻辑","authors":"J. Singh","doi":"10.1109/SIBCOM.2001.977520","DOIUrl":null,"url":null,"abstract":"Fuzzy logic is a multivalued logic. The membership function and linguistic variables characterize it. It is closer to human intuitive thinking. It offers easy, cheap and accurate solutions. In general, it is suitable for complex, continuous and nonlinear processes. The present paper deals with application of fuzzy logic in channel equalization.","PeriodicalId":424812,"journal":{"name":"IEEE-Siberian Workshop of Students and Young Researches. Modern Communication Technologies SIBCOM-2001. Proceedings (Cat. No.01EX452)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fuzzy logic in channel equalization in communication system\",\"authors\":\"J. Singh\",\"doi\":\"10.1109/SIBCOM.2001.977520\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fuzzy logic is a multivalued logic. The membership function and linguistic variables characterize it. It is closer to human intuitive thinking. It offers easy, cheap and accurate solutions. In general, it is suitable for complex, continuous and nonlinear processes. The present paper deals with application of fuzzy logic in channel equalization.\",\"PeriodicalId\":424812,\"journal\":{\"name\":\"IEEE-Siberian Workshop of Students and Young Researches. Modern Communication Technologies SIBCOM-2001. Proceedings (Cat. No.01EX452)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-11-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE-Siberian Workshop of Students and Young Researches. Modern Communication Technologies SIBCOM-2001. Proceedings (Cat. No.01EX452)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBCOM.2001.977520\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE-Siberian Workshop of Students and Young Researches. Modern Communication Technologies SIBCOM-2001. Proceedings (Cat. No.01EX452)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBCOM.2001.977520","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy logic in channel equalization in communication system
Fuzzy logic is a multivalued logic. The membership function and linguistic variables characterize it. It is closer to human intuitive thinking. It offers easy, cheap and accurate solutions. In general, it is suitable for complex, continuous and nonlinear processes. The present paper deals with application of fuzzy logic in channel equalization.