An n-silent-vs.-noisy duel with arbitrary accuracy functions
A. Styszyński (1974)
Applicationes Mathematicae
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A. Styszyński (1974)
Applicationes Mathematicae
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Salim Ibrir, Sette Diop (2004)
International Journal of Applied Mathematics and Computer Science
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In this paper, we propose a numerical algorithm for filtering and robust signal differentiation. The numerical procedure is based on the solution of a simplified linear optimization problem. A compromise between smoothing and fidelity with respect to the measurable data is achieved by the computation of an optimal regularization parameter that minimizes the Generalized Cross Validation criterion (GCV). Simulation results are given to highlight the effectiveness of the proposed procedure. ...
S. Trybuła (1988)
Applicationes Mathematicae
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S. Trybuła (1988)
Applicationes Mathematicae
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S. Trybuła (1988)
Applicationes Mathematicae
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Tomasz Markiewicz, Mirosław Dziekiewicz, Marek Maruszyński, Romana Bogusławska-Walecka, Wojciech Kozłowski (2014)
International Journal of Applied Mathematics and Computer Science
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Chawla, M.P.S. (2007)
Computational & Mathematical Methods in Medicine
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Ivan Nagy, Miroslav Kárný (1992)
Kybernetika
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Ma, Zichen, Fokoue, Ernest (2014)
Serdica Journal of Computing
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It is well established that accent recognition can be as accurate as up to 95% when the signals are noise-free, using feature extraction techniques such as mel-frequency cepstral coefficients and binary classifiers such as discriminant analysis, support vector machine and k-nearest neighbors. In this paper, we demonstrate that the predictive performance can be reduced by as much as 15% when the signals are noisy. Specifically, in this paper we perturb the signals with different levels...
Petr Luner, Jan Flusser (2005)
Kybernetika
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The paper deals with effective calculation of Thin-Plate Splines (TPS). We present a new modification of hierarchical approximation scheme. Unlike 2-D schemes published earlier, we propose an 1-D approximation. The new method yields lower computing complexity while it preserves the approximation accuracy.
G. Wahba, P. Craven (1978/79)
Numerische Mathematik
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