{"created":"2023-07-25T10:05:55.058875+00:00","id":1132,"links":{},"metadata":{"_buckets":{"deposit":"18707c99-2d83-469d-8bd3-40d03ac20afb"},"_deposit":{"created_by":4,"id":"1132","owners":[4],"pid":{"revision_id":0,"type":"depid","value":"1132"},"status":"published"},"_oai":{"id":"oai:tsuyama-nit.repo.nii.ac.jp:00001132","sets":["2:5:47"]},"author_link":["7114","7115"],"item_10002_biblio_info_25":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2000-01-04","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"4","bibliographicPageStart":"1","bibliographicVolumeNumber":"41","bibliographic_titles":[{"bibliographic_title":"津山工業高等専門学校紀要"},{"bibliographic_title":"Bulletin of Tsuyama National College of Technology","bibliographic_titleLang":"en"}]}]},"item_10002_description_19":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_description":"publisher","subitem_description_type":"Other"}]},"item_10002_description_6":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"On the blind source separation problem, the high order statics is often used for a separation criterion. Such statistics is useful but a solution is not stable anytime, and we need much data to get the solution. To get a stable solution with fewer data, this study empoly a criterion using second order statistics. The alogrithm is implemented with a iterative estirnation method, and evaluated using computer simulation. The performance of the alogorithm is, about 5dB convergence per 10000 iterations, and about 30dB reduetion of crosstalk, when the source signal is white noise.","subitem_description_type":"Abstract"}]},"item_10002_full_name_4":{"attribute_name":"著者（別表記）","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"7115","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Sakai, Yoshihiro"}]}]},"item_10002_publisher_9":{"attribute_name":"出版者（別表記）","attribute_value_mlt":[{"subitem_publisher":"National Institute of Technology, Tsuyama College"}]},"item_10002_source_id_10":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0287-7066","subitem_source_identifier_type":"ISSN"}]},"item_10002_source_id_12":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00149351","subitem_source_identifier_type":"NCID"}]},"item_10002_subject_20":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"007","subitem_subject_scheme":"NDC"}]},"item_10002_text_7":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_text_value":"津山工業高等専門学校"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"坂井, 良広"}],"nameIdentifiers":[{"nameIdentifier":"7114","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2000-01-04"}],"displaytype":"detail","filename":"津山工業高等専門学校紀要_41-1.pdf","filesize":[{"value":"330.6 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"津山工業高等専門学校紀要_41-1","url":"https://tsuyama-nit.repo.nii.ac.jp/record/1132/files/津山工業高等専門学校紀要_41-1.pdf"},"version_id":"aeb3b3af-cec4-4f78-be7c-302e0f40cf39"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"２次統計量を用いたブラインド信号源分離アルゴリズムの検討","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"２次統計量を用いたブラインド信号源分離アルゴリズムの検討"},{"subitem_title":"An alogrithm using second order statistics for ghe blind source separation","subitem_title_language":"en"}]},"item_type_id":"10002","owner":"4","path":["47"],"pubdate":{"attribute_name":"公開日","attribute_value":"2000-01-04"},"publish_date":"2000-01-04","publish_status":"0","recid":"1132","relation_version_is_last":true,"title":["２次統計量を用いたブラインド信号源分離アルゴリズムの検討"],"weko_creator_id":"4","weko_shared_id":-1},"updated":"2023-07-25T10:26:18.118163+00:00"}