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A combined fast adaptive filter algorithm with an automatic switching method
http://hdl.handle.net/2297/18376
http://hdl.handle.net/2297/18376061c717c-0c45-464e-bf96-23ed342be0e3
名前 / ファイル | ライセンス | アクション |
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TE-PR-NAKAYAMA-K-247.pdf (735.4 kB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2017-10-03 | |||||
タイトル | ||||||
タイトル | A combined fast adaptive filter algorithm with an automatic switching method | |||||
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 |
Wang, Youhua
× Wang, Youhua× Nakayama, Kenji |
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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 |
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences 巻 E77-A, 号 1, p. 247-256, 発行日 1994-06-01 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 0916-8508 | |||||
NCID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA10826239 | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | This paper proposes a new combined fast algorithm for transversal adaptive filters. The fast transversal filter (FTF) algorithm and the normalized LMS (NLMS) are combined in the following way. In the initialization period, the FTF is used to obtain fast convergence. After converging, the algorithm is switched to the NLMS algorithm because the FTF cannot be used for a long time due to its numerical instability. Nonstationary environment, that is, time varying unknown system for instance, is classified into three categories: slow time varying, fast time varying and sudden time varying systems. The NLMS algorithm is applied to the first situation. In the latter two cases, however, the NLMS algorithm cannot provide a good performance. So, the FTF algorithm is selected. Switching between the two algorithms is automatically controlled by using the difference of the MSE sequence. If the difference exceeds a threshold, then the FTF is selected. Other wise, the NLMS is selected. Compared with the RLS algorithm, the proposed combined algorithm needs less computation, while maintaining the same performance. Furthermore, compared with the FTF algorithm, it provides numerically stable operation. | |||||
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 |