{"created":"2023-05-15T12:35:21.027222+00:00","id":4216,"links":{},"metadata":{"_buckets":{"deposit":"ec08170a-3687-49f8-8284-2a38af9c9cb1"},"_deposit":{"created_by":91,"id":"4216","owners":[91],"pid":{"revision_id":0,"type":"depid","value":"4216"},"status":"published"},"_oai":{"id":"oai:nitech.repo.nii.ac.jp:00004216","sets":["31"]},"author_link":["464","12397","462","12592"],"item_10001_biblio_info_28":{"attribute_name":"bibliographic_information","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1993-05-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicPageEnd":"819","bibliographicPageStart":"808","bibliographicVolumeNumber":"E76-A","bibliographic_titles":[{"bibliographic_title":"IEICE transactions on fundamentals of electronics, communications and computer sciences","bibliographic_titleLang":"en"}]}]},"item_10001_description_36":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"In this paper, a new time series analysis method is proposed. The proposed method uses the exponential (EXP) model. The residual signal is assumed to be identically and independently distributed (IID). To achieve accurate and efficient estimates, the parameter of the system model is calculated by maximizing the logarithm of the likelihood of the residual signal which is assumed to be IID t-distribution. The EXP model theoretically assures the stability of the system. This model is appropriate for analyzing signals which have not only poles, but also poles and zeroes. The asymptotic efficiency of the EXP model is addressed. The optimal solution is calculated by the Newton-Raphson iteration method. Simulation results show that only a small number of iterations are necessary to reach stationary points which are always local minimum points. When the method is used to estimate the spectrum of synthetic signals, by using small α we can achieve a more accurate and efficient estimate than that with large α. To reduce the calculation burden an alternative algorithm is also proposed. In this algorithm, the estimated parameter is updated in every sampling instant using an imperfect, short-term, gradient method which is similar to the LMS algorithm.","subitem_description_language":"en","subitem_description_type":"Other"}]},"item_10001_full_name_27":{"attribute_name":"著者別名","attribute_value_mlt":[{"familyNames":[{"familyName":"Tokuda","familyNameLang":"en"},{"familyName":"徳田","familyNameLang":"ja"},{"familyName":"トクダ","familyNameLang":"ja-Kana"}],"givenNames":[{"givenName":"Keiichi","givenNameLang":"en"},{"givenName":"恵一","givenNameLang":"ja"},{"givenName":"ケイイチ","givenNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"464","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"1000020217483","nameIdentifierScheme":"NRID","nameIdentifierURI":"http://rns.nii.ac.jp/nr/1000020217483"}],"names":[{"name":"Tokuda, Keiichi","nameLang":"en"},{"name":"徳田, 恵一","nameLang":"ja"},{"name":"トクダ, ケイイチ","nameLang":"ja-Kana"}]}]},"item_10001_publisher_29":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Institute of Electronics, Information and Communication Engineers","subitem_publisher_language":"en"}]},"item_10001_source_id_30":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0916-8508","subitem_source_identifier_type":"ISSN"}]},"item_10001_source_id_32":{"attribute_name":"item_10001_source_id_32","attribute_value_mlt":[{"subitem_source_identifier":"AA10826239","subitem_source_identifier_type":"NCID"}]},"item_10001_version_type_33":{"attribute_name":"出版タイプ","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":"Sanubari, Junibakti","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"12397","nameIdentifierScheme":"WEKO"}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifierScheme":"ISNI","affiliationNameIdentifierURI":"http://www.isni.org/isni/"}],"affiliationNames":[{"affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"Wu, Yi-Jian","creatorNameLang":"en"},{"creatorName":"Wu, Yi-Jian","creatorNameLang":"ja"}],"familyNames":[{"familyName":"Wu","familyNameLang":"en"},{"familyName":"Wu","familyNameLang":"ja"}],"givenNames":[{"givenName":"Yi-Jian","givenNameLang":"en"},{"givenName":"Yi-Jian","givenNameLang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"462","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Onoda, Mahoki","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"12592","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":"2017-01-23"}],"displaytype":"detail","filename":"E76-A_808.pdf","filesize":[{"value":"808.9 kB"}],"format":"application/pdf","license_note":"Copyright (c) 1993 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/4216/files/E76-A_808.pdf"},"version_id":"b84f73fb-0255-4660-b91d-add23f3fd6a5"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"item_resource_type","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Time Series Analysis Based on Exponential Model Excited by t-Distribution Process and lts Algorithm","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Time Series Analysis Based on Exponential Model Excited by t-Distribution Process and lts Algorithm","subitem_title_language":"en"}]},"item_type_id":"10001","owner":"91","path":["31"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2012-11-07"},"publish_date":"2012-11-07","publish_status":"0","recid":"4216","relation_version_is_last":true,"title":["Time Series Analysis Based on Exponential Model Excited by t-Distribution Process and lts Algorithm"],"weko_creator_id":"91","weko_shared_id":-1},"updated":"2025-03-13T05:57:38.693571+00:00"}