{"title":"一种并行块结构的高速自适应消噪器的实现","authors":"Chawalit Benjangkaprasert, Katsumi Kikuchi, Sobuaki Takahashi, Tsuyoshi Takehe","doi":"10.1109/APCCAS.1994.514579","DOIUrl":null,"url":null,"abstract":"An adaptive algorithm for detecting a single sinusoid of unknown frequency corrupted by Gaussian noise has been proposed by Nishimura et al. using IIR bandpass filter with a variable center frequency/sup [1]/. The filter has the parallel block structure for fast processing. However, the algorithm has two problems: one is that it has several input frequencies making it impossible to converge; another is that the convergence rate cannot be higher than that of the scalar structure. In this paper, the causes of these problems are investigated and a new algorithm is proposed to solve these problems. Simulation results are given to illustrate the performance of the proposed algorithm.","PeriodicalId":231368,"journal":{"name":"Proceedings of APCCAS'94 - 1994 Asia Pacific Conference on Circuits and Systems","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An implementation of high-speed adaptive noise canceller with parallel block structure\",\"authors\":\"Chawalit Benjangkaprasert, Katsumi Kikuchi, Sobuaki Takahashi, Tsuyoshi Takehe\",\"doi\":\"10.1109/APCCAS.1994.514579\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An adaptive algorithm for detecting a single sinusoid of unknown frequency corrupted by Gaussian noise has been proposed by Nishimura et al. using IIR bandpass filter with a variable center frequency/sup [1]/. The filter has the parallel block structure for fast processing. However, the algorithm has two problems: one is that it has several input frequencies making it impossible to converge; another is that the convergence rate cannot be higher than that of the scalar structure. In this paper, the causes of these problems are investigated and a new algorithm is proposed to solve these problems. Simulation results are given to illustrate the performance of the proposed algorithm.\",\"PeriodicalId\":231368,\"journal\":{\"name\":\"Proceedings of APCCAS'94 - 1994 Asia Pacific Conference on Circuits and Systems\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of APCCAS'94 - 1994 Asia Pacific Conference on Circuits and Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APCCAS.1994.514579\",\"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 APCCAS'94 - 1994 Asia Pacific Conference on Circuits and Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCCAS.1994.514579","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An implementation of high-speed adaptive noise canceller with parallel block structure
An adaptive algorithm for detecting a single sinusoid of unknown frequency corrupted by Gaussian noise has been proposed by Nishimura et al. using IIR bandpass filter with a variable center frequency/sup [1]/. The filter has the parallel block structure for fast processing. However, the algorithm has two problems: one is that it has several input frequencies making it impossible to converge; another is that the convergence rate cannot be higher than that of the scalar structure. In this paper, the causes of these problems are investigated and a new algorithm is proposed to solve these problems. Simulation results are given to illustrate the performance of the proposed algorithm.
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