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A feedback approach and its learning algorithm for over complete blind source separation
http://hdl.handle.net/2297/18160
http://hdl.handle.net/2297/18160b09ea71c-1bcc-4919-9d18-2145de53edfc
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TE-PR-NAKAYAMA-K-459.pdf (501.7 kB)
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| Item type | 会議発表論文 / Conference Paper(1) | |||||
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| 公開日 | 2017-10-03 | |||||
| タイトル | ||||||
| タイトル | A feedback approach and its learning algorithm for over complete blind source separation | |||||
| 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_5794 | |||||
| 資源タイプ | conference paper | |||||
| 著者 |
Nakayama, Kenji
× Nakayama, Kenji× Katou, Haruo× Hirano, Akihiro |
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| 提供者所属 | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 金沢大学理工研究域 電子情報学系 | |||||
| 書誌情報 |
2006 International Symposium on Intelligent Signal Processing and Communications, ISPACS2006, Yonago, Japan p. 459-462, 発行日 2006-12-01 |
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| DOI | ||||||
| 関連タイプ | isIdenticalTo | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.1109/ISPACS.2006.364696 | |||||
| 出版者 | ||||||
| 出版者 | IEEE = Institute of Electrical and Electronics Engineers | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | In blind source separation (BSS) applications, the number of the signal sources is not known. When the number of the sensors is less than that of the signal sources, this problem is called 'Over Complete BSS' (OC-BSS), which is a difficult problem due to lack of information in observations. In this paper, a feedback approach and its learning algorithm are proposed for the OC-BSS. The number of the outputs of an umixing block is set to be equal to that of the sensors. By assuming some condition, at least one output can separate a single signal source. This output is fed back to the inputs of the unmixing block, and is subtracted from the observations, in order to reduce the number of equivalent signal sources. Two kinds of feedback methods are proposed. One of them is direct subtraction and the other is sample elimination based on histogram of the feedback signal and the observed signals. The modified observations are further separated. The same process is repeated until all signal sources are separated. Performance of the proposed method is evaluated through computer simulation. The proposed method can improve a signal to interference ratio by the several dB compared to the conventional methods. © 2006 IEEE. | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
| シリーズ | ||||||
| 関連名称 | ISPACS2006 | |||||
| シリーズ | ||||||
| 関連名称 | 4212314 | |||||
