{"title":"复合回归算法","authors":"J. B. Kenney, C. Rohrs","doi":"10.1109/ICASSP.1988.196906","DOIUrl":null,"url":null,"abstract":"A relation between equation error and output-error adaptive algorithms is presented. It leads to a clarified view of output-error bias and stability. It is shown that a tradeoff between desirable stability and bias characteristics can be achieved in output error by manipulation of the adaptive gain. The composite regressor algorithm (CRA) is introduced as a means of affecting this tradeoff, independent of the gain. Output error is shown to a special case of CRA. A stability constraint for CRA is developed in a theorem, and the bias properties of this algorithm are discussed.<<ETX>>","PeriodicalId":448544,"journal":{"name":"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing","volume":"472 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"The composite regressor algorithm\",\"authors\":\"J. B. Kenney, C. Rohrs\",\"doi\":\"10.1109/ICASSP.1988.196906\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A relation between equation error and output-error adaptive algorithms is presented. It leads to a clarified view of output-error bias and stability. It is shown that a tradeoff between desirable stability and bias characteristics can be achieved in output error by manipulation of the adaptive gain. The composite regressor algorithm (CRA) is introduced as a means of affecting this tradeoff, independent of the gain. Output error is shown to a special case of CRA. A stability constraint for CRA is developed in a theorem, and the bias properties of this algorithm are discussed.<<ETX>>\",\"PeriodicalId\":448544,\"journal\":{\"name\":\"ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing\",\"volume\":\"472 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"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.1988.196906\",\"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.1988.196906","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A relation between equation error and output-error adaptive algorithms is presented. It leads to a clarified view of output-error bias and stability. It is shown that a tradeoff between desirable stability and bias characteristics can be achieved in output error by manipulation of the adaptive gain. The composite regressor algorithm (CRA) is introduced as a means of affecting this tradeoff, independent of the gain. Output error is shown to a special case of CRA. A stability constraint for CRA is developed in a theorem, and the bias properties of this algorithm are discussed.<>