The membrane reflector is an important component in space optical systems. In a membrane reflector forming process, the surface reconstructed by discrete sampling points is used as a feedback signal for the forming co...
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The membrane reflector is an important component in space optical systems. In a membrane reflector forming process, the surface reconstructed by discrete sampling points is used as a feedback signal for the forming control. Precise and efficient surface reconstruction directly affects the controller design and the control performance. As the most popular tool for optical surface reconstruction, the Zernike polynomials encounter the contradictory requirements between performance and model complexity. The reconstruction error may become no-convergent due to ill-conditioned matrix with high degree polynomials. Therefore, the Zernike polynomial term selection becomes a key and hot topic. This paper proposes to construct the Zernike polynomials based model using a two-stage algorithm. The experimental results confirm the effectiveness of the proposed technique. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
This paper presents an adaptive, iteratively functioning ECG signal filtering method. After a conventional pre-filtering, the waves from the signal are localized and the model's parameters are determined. The gain...
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ISBN:
(纸本)0080441599
This paper presents an adaptive, iteratively functioning ECG signal filtering method. After a conventional pre-filtering, the waves from the signal are localized and the model's parameters are determined. The gained information allows an iterative-type filtering in permanent concordance with the aimed processing manner. The structure of the algorithm allows real-time adaptation to the heart's state. Using these methods for one channel of the MIT-BIH database, the detection rate of QRS complexes is above 99.8%. The negative influence of various noise types, like 50/60 Hz power line, abrupt baseline shift or drift, and low sampling rate was almost completely eliminated. IFAC.
This paper presents an adaptive, iteratively functioning ECG signal filtering method. After a conventional pre-filtering, the waves from the signal are localized and the model's parameters are determined. The gain...
详细信息
This paper presents an adaptive, iteratively functioning ECG signal filtering method. After a conventional pre-filtering, the waves from the signal are localized and the model's parameters are determined. The gained information allows an iterative-type filtering in permanent concordance with the aimed processing manner. The structure of the algorithm allows real-time adaptation to the heart's state. Using these methods for one channel of the MIT-BIH database, the detection rate of QRS complexes is above 99.8%. The negative influence of various noise types, like 50/60 Hz power line, abrupt baseline shift or drift, and low sampling rate was almost completely eliminated.
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