{"title":"基于Volterra串联的非线性补偿器设计","authors":"J.Y. Kim, K. Cho, Y. Kim, J.H. Chung, S. Nam","doi":"10.1109/HOST.1997.613501","DOIUrl":null,"url":null,"abstract":"In this paper, a new Volterra series-based adaptive preprocessing technique is presented to linearize weakly nonlinear systems with their linear parts being invertible. In particular, a systematic but simple design procedure is proposed for the compensation of system nonlinearities up to a required order, yielding a substantial reduction of computation burden. For the performance test of the proposed approach, some simulation results are also provided.","PeriodicalId":305928,"journal":{"name":"Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design of a Volterra series-based nonlinear compensator\",\"authors\":\"J.Y. Kim, K. Cho, Y. Kim, J.H. Chung, S. Nam\",\"doi\":\"10.1109/HOST.1997.613501\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new Volterra series-based adaptive preprocessing technique is presented to linearize weakly nonlinear systems with their linear parts being invertible. In particular, a systematic but simple design procedure is proposed for the compensation of system nonlinearities up to a required order, yielding a substantial reduction of computation burden. For the performance test of the proposed approach, some simulation results are also provided.\",\"PeriodicalId\":305928,\"journal\":{\"name\":\"Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics\",\"volume\":\"47 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HOST.1997.613501\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HOST.1997.613501","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design of a Volterra series-based nonlinear compensator
In this paper, a new Volterra series-based adaptive preprocessing technique is presented to linearize weakly nonlinear systems with their linear parts being invertible. In particular, a systematic but simple design procedure is proposed for the compensation of system nonlinearities up to a required order, yielding a substantial reduction of computation burden. For the performance test of the proposed approach, some simulation results are also provided.
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