{"title":"基于多光谱的盲均衡器结构","authors":"D. Hatzinakos","doi":"10.1109/MILCOM.1991.258472","DOIUrl":null,"url":null,"abstract":"Equalization structures useful in polyspectra-based blind equalization are summarized and discussed. These structures can be used with different equalization algorithms and criteria and can be easily modified to equalize minimum, maximum, or mixed phase communication channels. Structural properties related to equalization criteria, transfer functions and algorithms, noise and error propagation effects, complexity, and mean square error bounds are examined and compared.<<ETX>>","PeriodicalId":212388,"journal":{"name":"MILCOM 91 - Conference record","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1991-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Structures for polyspectra-based blind equalizers\",\"authors\":\"D. Hatzinakos\",\"doi\":\"10.1109/MILCOM.1991.258472\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Equalization structures useful in polyspectra-based blind equalization are summarized and discussed. These structures can be used with different equalization algorithms and criteria and can be easily modified to equalize minimum, maximum, or mixed phase communication channels. Structural properties related to equalization criteria, transfer functions and algorithms, noise and error propagation effects, complexity, and mean square error bounds are examined and compared.<<ETX>>\",\"PeriodicalId\":212388,\"journal\":{\"name\":\"MILCOM 91 - Conference record\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1991-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"MILCOM 91 - Conference record\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MILCOM.1991.258472\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"MILCOM 91 - Conference record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM.1991.258472","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Equalization structures useful in polyspectra-based blind equalization are summarized and discussed. These structures can be used with different equalization algorithms and criteria and can be easily modified to equalize minimum, maximum, or mixed phase communication channels. Structural properties related to equalization criteria, transfer functions and algorithms, noise and error propagation effects, complexity, and mean square error bounds are examined and compared.<>