دانلود مقاله ISI انگلیسی شماره 147461
عنوان انگلیسی
Recursive B-spline approximation using the Kalman filter
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
147461 2017 7 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Engineering Science and Technology, an International Journal, Volume 20, Issue 1, February 2017, Pages 28-34

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چکیده انگلیسی

This paper proposes a novel recursive B-spline approximation (RBA) algorithm which approximates an unbounded number of data points with a B-spline function and achieves lower computational effort compared with previous algorithms. Conventional recursive algorithms based on the Kalman filter (KF) restrict the approximation to a bounded and predefined interval. Conversely RBA includes a novel shift operation that enables to shift estimated B-spline coefficients in the state vector of a KF. This allows to adapt the interval in which the B-spline function can approximate data points during run-time.