WEKO3
アイテム
Time Series Analysis Based on Exponential Model Excited by t-Distribution Process and lts Algorithm
https://nitech.repo.nii.ac.jp/records/4216
https://nitech.repo.nii.ac.jp/records/4216198e5943-01f9-4db2-a216-a754403271fc
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
本文_fulltext (808.9 kB)
|
Copyright (c) 1993 IEICE http://search.ieice.org/index.html
|
| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2012-11-07 | |||||||||||||||
| タイトル | ||||||||||||||||
| タイトル | Time Series Analysis Based on Exponential Model Excited by t-Distribution Process and lts Algorithm | |||||||||||||||
| 言語 | en | |||||||||||||||
| 言語 | ||||||||||||||||
| 言語 | eng | |||||||||||||||
| 資源タイプ | ||||||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||
| 資源タイプ | journal article | |||||||||||||||
| 著者 |
Sanubari, Junibakti
× Sanubari, Junibakti
× Wu, Yi-Jian
× Onoda, Mahoki
|
|||||||||||||||
| 著者別名 | ||||||||||||||||
| 姓名 | Tokuda, Keiichi | |||||||||||||||
| 言語 | en | |||||||||||||||
| 姓名 | 徳田, 恵一 | |||||||||||||||
| 言語 | ja | |||||||||||||||
| 姓名 | トクダ, ケイイチ | |||||||||||||||
| 言語 | ja-Kana | |||||||||||||||
| bibliographic_information |
en : IEICE transactions on fundamentals of electronics, communications and computer sciences 巻 E76-A, 号 5, p. 808-819, 発行日 1993-05-20 |
|||||||||||||||
| 出版者 | ||||||||||||||||
| 出版者 | Institute of Electronics, Information and Communication Engineers | |||||||||||||||
| 言語 | en | |||||||||||||||
| ISSN | ||||||||||||||||
| 収録物識別子タイプ | ISSN | |||||||||||||||
| 収録物識別子 | 0916-8508 | |||||||||||||||
| item_10001_source_id_32 | ||||||||||||||||
| 収録物識別子タイプ | NCID | |||||||||||||||
| 収録物識別子 | AA10826239 | |||||||||||||||
| 出版タイプ | ||||||||||||||||
| 出版タイプ | VoR | |||||||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||||||||
| 内容記述 | ||||||||||||||||
| 内容記述タイプ | Other | |||||||||||||||
| 内容記述 | 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. | |||||||||||||||
| 言語 | en | |||||||||||||||
