{"title":"基于高阶矩的MA参数估计算法性能分析","authors":"B. Friedlander, B. Porat","doi":"10.1109/ICASSP.1988.197128","DOIUrl":null,"url":null,"abstract":"Results are presented concerning the performance of moving-average (MA) estimation algorithms based on high-order moments. A general lower bound is presented for the variance of estimates based on high-order sample moments. Then, an expression is given for the variance of weighted least-squares estimates, of the type recently reported in the literature. The existence of an optimal-weight matrix for such estimates is exhibited. The analytic results are verified by Monte-Carlo simulations for some specific test cases.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Performance analysis of MA parameter estimation algorithms based on high-order moments\",\"authors\":\"B. Friedlander, B. Porat\",\"doi\":\"10.1109/ICASSP.1988.197128\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Results are presented concerning the performance of moving-average (MA) estimation algorithms based on high-order moments. A general lower bound is presented for the variance of estimates based on high-order sample moments. Then, an expression is given for the variance of weighted least-squares estimates, of the type recently reported in the literature. The existence of an optimal-weight matrix for such estimates is exhibited. The analytic results are verified by Monte-Carlo simulations for some specific test cases.<<ETX>>\",\"PeriodicalId\":448544,\"journal\":{\"name\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.1988.197128\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1988.197128","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance analysis of MA parameter estimation algorithms based on high-order moments
Results are presented concerning the performance of moving-average (MA) estimation algorithms based on high-order moments. A general lower bound is presented for the variance of estimates based on high-order sample moments. Then, an expression is given for the variance of weighted least-squares estimates, of the type recently reported in the literature. The existence of an optimal-weight matrix for such estimates is exhibited. The analytic results are verified by Monte-Carlo simulations for some specific test cases.<>