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Performance Improvement of Variable Stepsize NLMS
https://nitech.repo.nii.ac.jp/records/4364
https://nitech.repo.nii.ac.jp/records/4364e41f3c6d-6f7f-41e0-bac7-f1cc0dca1d7a
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
本文_fulltext (865.6 kB)
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Copyright(c)1995 IEICE http://search.ieice.org/index.html
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2013-06-25 | |||||||||||
| タイトル | ||||||||||||
| タイトル | Performance Improvement of Variable Stepsize NLMS | |||||||||||
| 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 |
Tanpreeyachaya, Jirasak
× Tanpreeyachaya, Jirasak
× 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 E78-A, 号 8, p. 905-914, 発行日 1995-08-20 |
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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 | Improvement of the convergence characteristics of the NLMS algorithm has received attention in the area of adaptive filtering. A new variable stepsize NLMS method, in which the stepsize is updated optimally by using variances of the measured error signal and the estimated noise, is proposed. The optimal control equation of the stepsize has been derived from a convergence characteristic approximation. A new condition to judge convergence is introduced in this paper to ensure the fastest initial convergence speed by providing precise timing to start estimating noise level. And further, some adaptive smoothing devices have been added into the ADF to overcome the saturation problem of the identification error caused by some random deviations. By the simulation, The initial convergence speed and the identification error in precise identification mode is improved significantly by more precise adjustment of stepsize without increasing in computational cost. The results are the best ever reported performanced. This variable stepsize NLMS-ADF also shows good effectiveness even in severe conditions, such as noisy or fast changing circumstances. | |||||||||||
| 言語 | en | |||||||||||
