{"title":"使用子集选择的头部相关脉冲响应的降阶建模","authors":"W. G. Gardner","doi":"10.1109/ASPAA.1999.810878","DOIUrl":null,"url":null,"abstract":"This paper describes the subset selection method of modeling head-related impulse responses. The subset method is mathematical technique for choosing a set of basis functions directly from the data set that is being modeled. The subset method is compared to principal component analysis and the virtual speaker method.","PeriodicalId":229733,"journal":{"name":"Proceedings of the 1999 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. WASPAA'99 (Cat. No.99TH8452)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Reduced-rank modeling of head-related impulse responses using subset selection\",\"authors\":\"W. G. Gardner\",\"doi\":\"10.1109/ASPAA.1999.810878\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the subset selection method of modeling head-related impulse responses. The subset method is mathematical technique for choosing a set of basis functions directly from the data set that is being modeled. The subset method is compared to principal component analysis and the virtual speaker method.\",\"PeriodicalId\":229733,\"journal\":{\"name\":\"Proceedings of the 1999 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. WASPAA'99 (Cat. No.99TH8452)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 1999 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. WASPAA'99 (Cat. No.99TH8452)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASPAA.1999.810878\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1999 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. WASPAA'99 (Cat. No.99TH8452)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPAA.1999.810878","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reduced-rank modeling of head-related impulse responses using subset selection
This paper describes the subset selection method of modeling head-related impulse responses. The subset method is mathematical technique for choosing a set of basis functions directly from the data set that is being modeled. The subset method is compared to principal component analysis and the virtual speaker method.