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Global Noise Estimation Based on Tensor Product Expansion with Absolute Error
https://nitech.repo.nii.ac.jp/records/5336
https://nitech.repo.nii.ac.jp/records/533638dc0152-5684-4012-95f9-bfdd2a668125
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
本文_fulltext (544.8 kB)
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Copyright(c)2007 IEICE http://search.ieice.org/index.html
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||||||
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| 公開日 | 2013-06-25 | |||||||||||||
| タイトル | ||||||||||||||
| タイトル | Global Noise Estimation Based on Tensor Product Expansion with Absolute Error | |||||||||||||
| 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 |
Itai, Akitoshi
× Itai, Akitoshi
× Yasukawa, Hiroshi
× Takumi, Ichi
× Hata, Masayasu
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| 著者別名 | ||||||||||||||
| 姓名 | 内匠, 逸 | |||||||||||||
| bibliographic_information |
en : IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences 巻 E90-A, 号 4, p. 778-783, 発行日 2007-04-01 |
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| 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 | 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. | |||||||||||||
| 言語 | en | |||||||||||||
