{"title":"New adaptive detection filters using Newton-type algorithms","authors":"C. Lindquist, June-Ming Shen","doi":"10.1109/SECON.1994.324345","DOIUrl":null,"url":null,"abstract":"An adaptive detection filter detects the presence of a desired signal in noisy environment. In this paper, we present several detection filtering algorithms in the time domain. Our algorithm's vector forms are compared with gradient search methods include Newton, steepest descent and least-mean-square. We find that our algorithms are of the Newton-type.<<ETX>>","PeriodicalId":119615,"journal":{"name":"Proceedings of SOUTHEASTCON '94","volume":"100 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of SOUTHEASTCON '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SECON.1994.324345","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An adaptive detection filter detects the presence of a desired signal in noisy environment. In this paper, we present several detection filtering algorithms in the time domain. Our algorithm's vector forms are compared with gradient search methods include Newton, steepest descent and least-mean-square. We find that our algorithms are of the Newton-type.<>