{"created":"2023-05-15T12:36:08.129351+00:00","id":5336,"links":{},"metadata":{"_buckets":{"deposit":"e3ad75f5-a821-4768-a7c0-379141510c3c"},"_deposit":{"created_by":3,"id":"5336","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"5336"},"status":"published"},"_oai":{"id":"oai:nitech.repo.nii.ac.jp:00005336","sets":["31"]},"author_link":["8540","18437","18438","11304"],"item_10001_biblio_info_28":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2007-04-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicPageEnd":"783","bibliographicPageStart":"778","bibliographicVolumeNumber":"E90-A","bibliographic_titles":[{"bibliographic_title":"IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences"}]}]},"item_10001_description_36":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"This paper proposes a novel signal estimation method that uses a tensor product expansion. When a bivariable function, which is expressed by two-dimensional matrix, is subjected to conventional tensor product expansion, two single variable functions are calculated by minimizing the mean square error between the input vector and its outer product. A tensor product expansion is useful for feature extraction and signal compression, however, it is difficult to separate global noise from other signals. This paper shows that global noise, which is observed in almost all input signals, can be estimated by using a tensor product expansion where absolute error is used as the error function.","subitem_description_type":"Other"}]},"item_10001_description_38":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_10001_full_name_27":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{},{}],"names":[{"name":"内匠, 逸"}]}]},"item_10001_publisher_29":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Institute of Electronics, Information and Communication Engineers"}]},"item_10001_source_id_30":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"09168508","subitem_source_identifier_type":"ISSN"}]},"item_10001_source_id_32":{"attribute_name":"書誌レコードID（NCID）","attribute_value_mlt":[{"subitem_source_identifier":"AA10826239","subitem_source_identifier_type":"NCID"}]},"item_10001_version_type_33":{"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":"Itai, Akitoshi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Yasukawa, Hiroshi","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Takumi, Ichi","creatorNameLang":"en"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"Hata, Masayasu","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-01-25"}],"displaytype":"detail","filename":"E90-A_778.pdf","filesize":[{"value":"544.8 kB"}],"format":"application/pdf","license_note":"Copyright(c)2007 IEICE　http://search.ieice.org/index.html","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"本文_fulltext","url":"https://nitech.repo.nii.ac.jp/record/5336/files/E90-A_778.pdf"},"version_id":"ced7394b-32f8-41b7-bb9c-03edfb64e90d"}]},"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":"Global Noise Estimation Based on Tensor Product Expansion with Absolute Error","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Global Noise Estimation Based on Tensor Product Expansion with Absolute Error","subitem_title_language":"en"}]},"item_type_id":"10001","owner":"3","path":["31"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-06-25"},"publish_date":"2013-06-25","publish_status":"0","recid":"5336","relation_version_is_last":true,"title":["Global Noise Estimation Based on Tensor Product Expansion with Absolute Error"],"weko_creator_id":"3","weko_shared_id":3},"updated":"2023-05-15T14:26:54.538881+00:00"}