{"title":"递归最小二乘信号处理算法分析","authors":"F. Luk, S. Qiao","doi":"10.1137/0910027","DOIUrl":null,"url":null,"abstract":"This paper concerns a popular recursive least-squares algorithm for beamforming. The way in which the method's stability depends on the condition of a special matrix is analyzed in detail, and a new procedure for estimating the error in the computed solution is presented.","PeriodicalId":200176,"journal":{"name":"Siam Journal on Scientific and Statistical Computing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Analysis of a recursive least-squares signal-processing algorithm\",\"authors\":\"F. Luk, S. Qiao\",\"doi\":\"10.1137/0910027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper concerns a popular recursive least-squares algorithm for beamforming. The way in which the method's stability depends on the condition of a special matrix is analyzed in detail, and a new procedure for estimating the error in the computed solution is presented.\",\"PeriodicalId\":200176,\"journal\":{\"name\":\"Siam Journal on Scientific and Statistical Computing\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Siam Journal on Scientific and Statistical Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1137/0910027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Siam Journal on Scientific and Statistical Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1137/0910027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of a recursive least-squares signal-processing algorithm
This paper concerns a popular recursive least-squares algorithm for beamforming. The way in which the method's stability depends on the condition of a special matrix is analyzed in detail, and a new procedure for estimating the error in the computed solution is presented.