{"title":"基于Haar小波的QAM降噪和基于神经网络的非线性信道识别","authors":"S. Lee, B. Nam","doi":"10.1109/ISIE.2001.931839","DOIUrl":null,"url":null,"abstract":"Recently, a considerable amount of attention is being given to the use of wavelets and neural network for modulation and equalization. The authors proposed a new scheme of equalization for constellation using discrete wavelet transform (DWT) and neural network. The DWT is used for noise reduction and the neural network is used to update the equalizer coefficients adaptively.","PeriodicalId":124749,"journal":{"name":"ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Noise reduction using Haar wavelet and identification of nonlinear channel for QAM using neural network\",\"authors\":\"S. Lee, B. Nam\",\"doi\":\"10.1109/ISIE.2001.931839\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, a considerable amount of attention is being given to the use of wavelets and neural network for modulation and equalization. The authors proposed a new scheme of equalization for constellation using discrete wavelet transform (DWT) and neural network. The DWT is used for noise reduction and the neural network is used to update the equalizer coefficients adaptively.\",\"PeriodicalId\":124749,\"journal\":{\"name\":\"ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570)\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISIE.2001.931839\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISIE.2001.931839","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Noise reduction using Haar wavelet and identification of nonlinear channel for QAM using neural network
Recently, a considerable amount of attention is being given to the use of wavelets and neural network for modulation and equalization. The authors proposed a new scheme of equalization for constellation using discrete wavelet transform (DWT) and neural network. The DWT is used for noise reduction and the neural network is used to update the equalizer coefficients adaptively.