2022年
Adaptive Vibrarthographic Signal Denoising via Ant Colony Optimization Using Dynamic Denoising Filter Parameters
International Journal of Engineering and Technology Innovation
- ,
- ,
- ,
- 巻
- 12
- 号
- 1
- 開始ページ
- 01
- 終了ページ
- 15
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.46604/ijeti.2021.8718
- 出版者・発行元
- Taiwan Association of Engineering and Technology Innovation
This study proposes an ant colony optimization (ACO) denoising method with dynamic filter parameters. The proposed method is developed based on ensemble empirical mode decomposition (EEMD), and aims to improve the quality of vibrarthographic (VAG) signals. It mixes the original VAG signals with different white noise amplitudes, and adopts a hybrid technology that combines EEMD with a Savitzky-Golay (SG) filter containing the dynamic parameters optimized by ACO. The results show that the proposed method provides a higher peak signal-to-noise ratio (PSNR) and a smaller root-mean-square difference than the regular methods. The SNR improvement for the VAG signals of normal knees can reach 13 dB while maintaining the original signal structure, and the SNR improvement for the VAG signals of abnormal knees can reach 20 dB. The method proposed in this study can improve the quality of nonstationary VAG signals.
- リンク情報
- ID情報
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- DOI : 10.46604/ijeti.2021.8718
- ISSN : 2223-5329
- eISSN : 2226-809X