{"title":"波束形成噪声消除算法的性能分析","authors":"M. Alom, I.A. Khan, M.Z. Alam, M. S. Nasrin","doi":"10.1109/ICCITECHN.2007.4579394","DOIUrl":null,"url":null,"abstract":"This paper presents performance analysis of beamforming algorithm for canceling multiple channel noise depending on variation of hidden layer of the multilayer feedforward network and the number of epoch (also known as number of iteration)[1]. A multi-layer perception (MLP) has been considered to perform beamforming. A beamforming is an array of sensors connected to the MLP inputs. We have also used the backpropagation algorithm as learning rule for MLP and improving our signal quality. This involves a desired signal whilst removing any noise or interference signals which may come from different sources.","PeriodicalId":338170,"journal":{"name":"2007 10th international conference on computer and information technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Performance analysis of beamforming algorithm for noise cancellation\",\"authors\":\"M. Alom, I.A. Khan, M.Z. Alam, M. S. Nasrin\",\"doi\":\"10.1109/ICCITECHN.2007.4579394\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents performance analysis of beamforming algorithm for canceling multiple channel noise depending on variation of hidden layer of the multilayer feedforward network and the number of epoch (also known as number of iteration)[1]. A multi-layer perception (MLP) has been considered to perform beamforming. A beamforming is an array of sensors connected to the MLP inputs. We have also used the backpropagation algorithm as learning rule for MLP and improving our signal quality. This involves a desired signal whilst removing any noise or interference signals which may come from different sources.\",\"PeriodicalId\":338170,\"journal\":{\"name\":\"2007 10th international conference on computer and information technology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 10th international conference on computer and information technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCITECHN.2007.4579394\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 10th international conference on computer and information technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCITECHN.2007.4579394","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance analysis of beamforming algorithm for noise cancellation
This paper presents performance analysis of beamforming algorithm for canceling multiple channel noise depending on variation of hidden layer of the multilayer feedforward network and the number of epoch (also known as number of iteration)[1]. A multi-layer perception (MLP) has been considered to perform beamforming. A beamforming is an array of sensors connected to the MLP inputs. We have also used the backpropagation algorithm as learning rule for MLP and improving our signal quality. This involves a desired signal whilst removing any noise or interference signals which may come from different sources.
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