用近似MUSIC方法估计正弦频率

Fifth ASSP Workshop on Spectrum Estimation and Modeling Pub Date : 1900-01-01 DOI:10.1109/SPECT.1990.205603

J. Karhunen, J. Joutsensalo

{"title":"用近似MUSIC方法估计正弦频率","authors":"J. Karhunen, J. Joutsensalo","doi":"10.1109/SPECT.1990.205603","DOIUrl":null,"url":null,"abstract":"Two efficient methods avoiding eigenvector computation are proposed for approximating the signal subspace in terms of the Fourier transform. The resulting approximations are used to substitute for the signal eigenvectors in MUSIC. The proposed methods perform almost the same as MUSIC at high SNRs and provide often clearly better results at low SNRs. They seem to be more robust than MUSIC against overestimation of the number of sinusoids.<<ETX>>","PeriodicalId":117661,"journal":{"name":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","volume":"267 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Sinusoidal frequency estimation by approximate MUSIC method\",\"authors\":\"J. Karhunen, J. Joutsensalo\",\"doi\":\"10.1109/SPECT.1990.205603\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two efficient methods avoiding eigenvector computation are proposed for approximating the signal subspace in terms of the Fourier transform. The resulting approximations are used to substitute for the signal eigenvectors in MUSIC. The proposed methods perform almost the same as MUSIC at high SNRs and provide often clearly better results at low SNRs. They seem to be more robust than MUSIC against overestimation of the number of sinusoids.<<ETX>>\",\"PeriodicalId\":117661,\"journal\":{\"name\":\"Fifth ASSP Workshop on Spectrum Estimation and Modeling\",\"volume\":\"267 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fifth ASSP Workshop on Spectrum Estimation and Modeling\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPECT.1990.205603\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fifth ASSP Workshop on Spectrum Estimation and Modeling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPECT.1990.205603","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 3

摘要

提出了用傅里叶变换逼近信号子空间的两种有效方法，避免了特征向量计算。所得到的近似用于替换MUSIC中的信号特征向量。所提出的方法在高信噪比下的性能几乎与MUSIC相同，并且在低信噪比下通常提供明显更好的结果。它们似乎比MUSIC在防止对正弦波数量的高估方面更健壮

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Sinusoidal frequency estimation by approximate MUSIC method

Two efficient methods avoiding eigenvector computation are proposed for approximating the signal subspace in terms of the Fourier transform. The resulting approximations are used to substitute for the signal eigenvectors in MUSIC. The proposed methods perform almost the same as MUSIC at high SNRs and provide often clearly better results at low SNRs. They seem to be more robust than MUSIC against overestimation of the number of sinusoids.<>

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Fifth ASSP Workshop on Spectrum Estimation and Modeling

自引率

0.00%

发文量