書誌事項
- タイトル別名
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- A Consideration on Blind Identification Algorithms Using Total Least Squares Based on Over-Sampling Method
抄録
Usually, we deal with noise only in output side of a system for a system identification. However, it is known that there are algorithms using an input and output side noise for more appropriate estimation. Then, this paper presents two algorithms of a blind identification for a system in which there are both noises in input and output. The first is based on a simple adaptive gradient method. The second is based on RLS algorithm. When an output noise is added into system, we can achieve more precise estimation of system parameters. Computer simulations show our algorithms' performance.
収録刊行物
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- 信号処理
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信号処理 20 (1), 31-40, 2016
信号処理学会
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詳細情報 詳細情報について
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- CRID
- 1390001204463918976
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- NII論文ID
- 130005120540
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- ISSN
- 18801013
- 13426230
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可