書誌事項
- タイトル別名
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- Noise Reduction of Acoustic Data of Bill under Noisy Environment Using Adaptive Digital Filter and Neural Network
- テキオウ ディジタル フィルタ ト ニューラル ネットワーク オ ヘイヨウ シタ ソウオン カンキョウ カ ニ オケル シヘイ オンキョウ データ ノ ザツオン ジョキョ
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抄録
Recently, failure detection by acoustic data is applied to quality check such as new or used bill classification. However, it is difficult to reduce the noise in acoustic data of bill by conventional techniques since there are many types of noises in the environment. In this paper, we propose a method by using an adaptive digital filter and a neural network to reduce noises in acoustic data of bill. First, the acoustic data is divided into some frequency bands by the wavelet transform. Next, each data is passed through two types of filters to reduce the noise. One is an adaptive digital filter trained by the LMS algorithm, and the other is a nonlinear filter based on a neural network trained by the error back-propagation method. Then the processed data in each frequency band are composed to get an estimated signal. Finally, simulation results are illustrated to show the effectiveness of the proposed method compared with conventional approaches.
収録刊行物
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- 電気学会論文誌Ｃ（電子・情報・システム部門誌）
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電気学会論文誌Ｃ（電子・情報・システム部門誌） 129 (9), 1724-1729, 2009
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390001204606085760
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- NII論文ID
- 10025102001
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 10421432
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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
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可