{"created":"2023-05-15T15:25:18.453301+00:00","id":12886,"links":{},"metadata":{"_buckets":{"deposit":"605e5c20-5683-4f33-bb38-93200b87ae2f"},"_deposit":{"created_by":3,"id":"12886","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"12886"},"status":"published"},"_oai":{"id":"oai:sucra.repo.nii.ac.jp:00012886","sets":["94:426"]},"author_link":["20317","18438"],"item_119_biblio_info_8":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2005","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicPageEnd":"711","bibliographicPageStart":"702","bibliographicVolumeNumber":"E88-A","bibliographic_titles":[{"bibliographic_title":"IEICE transactions on fundamentals of electronics, communications and computer sciences"}]}]},"item_119_description_19":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"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.","subitem_description_type":"Abstract"}]},"item_119_description_21":{"attribute_name":"注記","attribute_value_mlt":[{"subitem_description":"copyright(c)2005 IEICE\n許諾番号：07RB0174　\nhttp://www.ieice.org/jpn/trans_online/index.html","subitem_description_type":"Other"}]},"item_119_description_29":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"text","subitem_description_type":"Other"}]},"item_119_description_30":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_119_publisher_11":{"attribute_name":"出版者名","attribute_value_mlt":[{"subitem_publisher":"社団法人電子情報通信学会"}]},"item_119_source_id_14":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"09168508","subitem_source_identifier_type":"ISSN"}]},"item_119_text_3":{"attribute_name":"著者 ローマ字","attribute_value_mlt":[{"subitem_text_value":"GAMBA, Jonah"},{"subitem_text_value":"SHIMAMURA, Tetsuya"}]},"item_119_text_32":{"attribute_name":"アイテムID","attribute_value_mlt":[{"subitem_text_value":"A1003079"}]},"item_119_text_4":{"attribute_name":"著者 所属","attribute_value_mlt":[{"subitem_text_value":"埼玉大学工学部情報工学科"},{"subitem_text_value":"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"}]},"item_119_text_5":{"attribute_name":"著者 所属(別言語)","attribute_value_mlt":[{"subitem_text_value":"Department of Information and Computer Sciences, Saitama University"},{"subitem_text_value":"Graduate School of Science and Engineering, Saitama University"}]},"item_119_text_9":{"attribute_name":"年月次","attribute_value_mlt":[{"subitem_text_value":"2005-3"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"GAMBA, Jonah"},{"creatorName":"ガンバ, ジョナー","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"島村, 徹也"},{"creatorName":"シマムラ, テツヤ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-01-24"}],"displaytype":"detail","filename":"A1003079.pdf","filesize":[{"value":"836.4 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"A1003079.pdf","url":"https://sucra.repo.nii.ac.jp/record/12886/files/A1003079.pdf"},"version_id":"9355f276-e340-4f7c-a824-f7e9e50f78f7"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"spectrum estimation","subitem_subject_scheme":"Other"},{"subitem_subject":"noise variance","subitem_subject_scheme":"Other"},{"subitem_subject":"Yule-Walker equations","subitem_subject_scheme":"Other"},{"subitem_subject":"autoregressive process","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Spectrum Estimation by Noise-Compensated Data Extrapolation(Digital Signal Processing)","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Spectrum Estimation by Noise-Compensated Data Extrapolation(Digital Signal Processing)"}]},"item_type_id":"119","owner":"3","path":["426"],"pubdate":{"attribute_name":"公開日","attribute_value":"2007-10-04"},"publish_date":"2007-10-04","publish_status":"0","recid":"12886","relation_version_is_last":true,"title":["Spectrum Estimation by Noise-Compensated Data Extrapolation(Digital Signal Processing)"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-05-16T12:47:15.121673+00:00"}