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Spectrum Estimation by Noise-Compensated Data Extrapolation(Digital Signal Processing)
https://sucra.repo.nii.ac.jp/records/12886
https://sucra.repo.nii.ac.jp/records/1288640e33f93-70cb-4a14-9079-9c1ddcdef88e
名前 / ファイル | ライセンス | アクション |
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A1003079.pdf (836.4 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2007-10-04 | |||||
タイトル | ||||||
タイトル | Spectrum Estimation by Noise-Compensated Data Extrapolation(Digital Signal Processing) | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | spectrum estimation | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | noise variance | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Yule-Walker equations | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | autoregressive process | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者 |
GAMBA, Jonah
× GAMBA, Jonah× 島村, 徹也 |
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著者 ローマ字 | ||||||
GAMBA, Jonah | ||||||
著者 ローマ字 | ||||||
SHIMAMURA, Tetsuya | ||||||
著者 所属 | ||||||
埼玉大学工学部情報工学科 | ||||||
著者 所属 | ||||||
埼玉大学大学院理工学研究科数理電子情報部門情報システム工学領域 | ||||||
著者 所属(別言語) | ||||||
Department of Information and Computer Sciences, Saitama University | ||||||
著者 所属(別言語) | ||||||
Graduate School of Science and Engineering, Saitama University | ||||||
書誌情報 |
IEICE transactions on fundamentals of electronics, communications and computer sciences 巻 E88-A, 号 3, p. 702-711, 発行日 2005 |
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年月次 | ||||||
2005-3 | ||||||
出版者名 | ||||||
出版者 | 社団法人電子情報通信学会 | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 09168508 | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | High-resolution spectrum estimation techniques have been extensively studied in recent publications. Knowledge of the noise variance is vital for spectrum estimation from noise-corrupted observations. This paper presents the use of noise compensation and data extrapolation for spectrum estimation. We assume that the observed data sequence can be represented by a set of autoregressive parameters. A recently proposed iterative algorithm is then used for noise variance estimation while autoregressive parameters are used for data extrapolation. We also present analytical results to show the exponential decay characteristics of the extrapolated samples and the frequency domain smoothing effect of data extrapolation. Some statistical results are also derived. The proposed noise-compensated data extrapolation approach is applied to both the autoregressive and FFT-based spectrum estimation methods. Finally, simulation results show the superiority of the method in terms of bias reduction and resolution improvement for sinusoids buried in noise. | |||||
注記 | ||||||
内容記述タイプ | Other | |||||
内容記述 | copyright(c)2005 IEICE 許諾番号:07RB0174 http://www.ieice.org/jpn/trans_online/index.html |
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資源タイプ | ||||||
内容記述タイプ | Other | |||||
内容記述 | text | |||||
フォーマット | ||||||
内容記述タイプ | Other | |||||
内容記述 | application/pdf | |||||
アイテムID | ||||||
A1003079 |