{"title":"子带自适应滤波器的统计分析","authors":"S. Ohno","doi":"10.1109/TFSA.1996.546689","DOIUrl":null,"url":null,"abstract":"This paper presents an analysis of subband adaptive digital filters (ADF) for a stationary input. First, the subband adaptive filtering scheme is reexpressed by the polyphase matrices of the filter bank and the unknown system. Based on this structure the subband ADF with cross terms is studied. Then, for the conventional subband ADF, the optimal subband filters and the time-averaged mean-squared error are treated in the frequency domain. These representations enable us to easily see the aliasing effects in subband adaptive filtering.","PeriodicalId":415923,"journal":{"name":"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Statistical analysis of subband adaptive filters\",\"authors\":\"S. Ohno\",\"doi\":\"10.1109/TFSA.1996.546689\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an analysis of subband adaptive digital filters (ADF) for a stationary input. First, the subband adaptive filtering scheme is reexpressed by the polyphase matrices of the filter bank and the unknown system. Based on this structure the subband ADF with cross terms is studied. Then, for the conventional subband ADF, the optimal subband filters and the time-averaged mean-squared error are treated in the frequency domain. These representations enable us to easily see the aliasing effects in subband adaptive filtering.\",\"PeriodicalId\":415923,\"journal\":{\"name\":\"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)\",\"volume\":\"107 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TFSA.1996.546689\",\"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 Third International Symposium on Time-Frequency and Time-Scale Analysis (TFTS-96)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TFSA.1996.546689","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents an analysis of subband adaptive digital filters (ADF) for a stationary input. First, the subband adaptive filtering scheme is reexpressed by the polyphase matrices of the filter bank and the unknown system. Based on this structure the subband ADF with cross terms is studied. Then, for the conventional subband ADF, the optimal subband filters and the time-averaged mean-squared error are treated in the frequency domain. These representations enable us to easily see the aliasing effects in subband adaptive filtering.