{"title":"远距离依赖信号的自适应和鲁棒预测器性能比较","authors":"R. Boel, I. Mareels, M. James","doi":"10.1109/CDC.2000.912735","DOIUrl":null,"url":null,"abstract":"In the context of long range dependent processes we compare robust and adaptive prediction/filtering. The intuitive observation that adaptation achieves optimality asymptotically and outperforms in the long run robust filtering is quantified through the estimation of convergence rates and levels of achievable performance.","PeriodicalId":217237,"journal":{"name":"Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Performance comparison of adaptive and robust predictors for long range dependent signals\",\"authors\":\"R. Boel, I. Mareels, M. James\",\"doi\":\"10.1109/CDC.2000.912735\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the context of long range dependent processes we compare robust and adaptive prediction/filtering. The intuitive observation that adaptation achieves optimality asymptotically and outperforms in the long run robust filtering is quantified through the estimation of convergence rates and levels of achievable performance.\",\"PeriodicalId\":217237,\"journal\":{\"name\":\"Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187)\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.2000.912735\",\"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 39th IEEE Conference on Decision and Control (Cat. No.00CH37187)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.2000.912735","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance comparison of adaptive and robust predictors for long range dependent signals
In the context of long range dependent processes we compare robust and adaptive prediction/filtering. The intuitive observation that adaptation achieves optimality asymptotically and outperforms in the long run robust filtering is quantified through the estimation of convergence rates and levels of achievable performance.