{"created":"2023-05-15T12:05:36.533392+00:00","id":10292,"links":{},"metadata":{"_buckets":{"deposit":"36399e3a-3a09-45fb-8ba8-2a726625a6fe"},"_deposit":{"created_by":3,"id":"10292","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"10292"},"status":"published"},"_oai":{"id":"oai:iwate-u.repo.nii.ac.jp:00010292","sets":["1515:1519"]},"author_link":["63768"],"item_16_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2014-02-01","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"556","bibliographicPageStart":"547","bibliographicVolumeNumber":"E97-A","bibliographic_titles":[{"bibliographic_title":"IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences"}]}]},"item_16_date_6":{"attribute_name":"登録日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2014-04-28"}]},"item_16_description_12":{"attribute_name":"Abstract","attribute_value_mlt":[{"subitem_description":"A method for efficiently estimating the time-varying spectra of nonstationary autoregressive (AR) signals is derived using an indefinite matrix-based sliding window fast linear prediction (ISWFLP). In the linear prediction, the indefinite matrix plays a very important role in sliding an exponentially weighted finite-length window over the prediction error samples. The resulting ISWFLP algorithm successively estimates the time-varying AR parameters of order N at a computational complexity of O(N) per sample. The performance of the AR parameter estimation is superior to the performances of the conventional techniques, including the Yule-Walker, covariance, and Burg methods. Consequently, the ISWFLP-based AR spectral estimation method is able to rapidly track variations in the frequency components with a high resolution and at a low computational cost. The effectiveness of the proposed method is demonstrated by the spectral analysis results of a sinusoidal signal and a speech signal.","subitem_description_type":"Other"}]},"item_16_publisher_14":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"The Institute of Electronics, Information and Communication Engineers"}]},"item_16_rights_18":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"copyright©2014 The Institute of Electronics, Information and Communication Engineers"}]},"item_16_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0916-8508","subitem_source_identifier_type":"ISSN"}]},"item_16_text_4":{"attribute_name":"著者(機関)","attribute_value_mlt":[{"subitem_text_value":"Department of Electrical Engineering and Computer Science, Faculty of Engineering, Iwate University"}]},"item_16_version_type_27":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"NISHIYAMA, Kiyoshi"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2016-11-14"}],"displaytype":"detail","filename":"ieice-ve97an2p547-556.pdf","filesize":[{"value":"9.1 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"ieice-ve97an2p547-556.pdf","url":"https://iwate-u.repo.nii.ac.jp/record/10292/files/ieice-ve97an2p547-556.pdf"},"version_id":"ba715406-ac89-429f-b37e-e8391050508c"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"spectral estimation","subitem_subject_scheme":"Other"},{"subitem_subject":"autoregressive model","subitem_subject_scheme":"Other"},{"subitem_subject":"linear prediction","subitem_subject_scheme":"Other"},{"subitem_subject":"fast algorithm","subitem_subject_scheme":"Other"},{"subitem_subject":"sliding window","subitem_subject_scheme":"Other"},{"subitem_subject":"indefinite matrix","subitem_subject_scheme":"Other"},{"subitem_subject":"forgetting factor","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":"Time-Varying AR Spectral Estimation Using an Indefinite Matrix-Based Sliding Window Fast Linear Prediction","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Time-Varying AR Spectral Estimation Using an Indefinite Matrix-Based Sliding Window Fast Linear Prediction"}]},"item_type_id":"16","owner":"3","path":["1519"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-04-28"},"publish_date":"2014-04-28","publish_status":"0","recid":"10292","relation_version_is_last":true,"title":["Time-Varying AR Spectral Estimation Using an Indefinite Matrix-Based Sliding Window Fast Linear Prediction"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-05-16T11:38:57.363430+00:00"}