{"title":"基于小波包的自适应滤波算法及其在自适应主动降噪中的应用","authors":"J. Xin, Y. Murakami, A. Sano","doi":"10.1109/SSAP.1994.572496","DOIUrl":null,"url":null,"abstract":"In this paper, on the motivation of arbitrariness of frequency resolution at all frequencies and property of orthogonalization of wavelet packets, we investigate new adaptive algorithms based on wavelet packets. Moreover, the active noise cancellation with stabilization is investigated by using the presented adaptive algorithm. The effectiveness is demonstrated through numerical simulation.","PeriodicalId":151571,"journal":{"name":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Adaptive Filter Algorithm Based on Wavelet Packets and Application to Adaptive Active Noise Cancellation\",\"authors\":\"J. Xin, Y. Murakami, A. Sano\",\"doi\":\"10.1109/SSAP.1994.572496\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, on the motivation of arbitrariness of frequency resolution at all frequencies and property of orthogonalization of wavelet packets, we investigate new adaptive algorithms based on wavelet packets. Moreover, the active noise cancellation with stabilization is investigated by using the presented adaptive algorithm. The effectiveness is demonstrated through numerical simulation.\",\"PeriodicalId\":151571,\"journal\":{\"name\":\"IEEE Seventh SP Workshop on Statistical Signal and Array Processing\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Seventh SP Workshop on Statistical Signal and Array Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSAP.1994.572496\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Seventh SP Workshop on Statistical Signal and Array Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSAP.1994.572496","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive Filter Algorithm Based on Wavelet Packets and Application to Adaptive Active Noise Cancellation
In this paper, on the motivation of arbitrariness of frequency resolution at all frequencies and property of orthogonalization of wavelet packets, we investigate new adaptive algorithms based on wavelet packets. Moreover, the active noise cancellation with stabilization is investigated by using the presented adaptive algorithm. The effectiveness is demonstrated through numerical simulation.
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