A k-noisy, n-silent vs. one-noisy duel with equal accuracy functions
K. Orłowski, T. Radzik (1976)
Applicationes Mathematicae
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K. Orłowski, T. Radzik (1976)
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. ...
Simon Gangl, Domen Mongus, Borut Žalik (2014)
International Journal of Applied Mathematics and Computer Science
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Simon Gangl, Domen Mongus, Borut Žalik (2014)
International Journal of Applied Mathematics and Computer Science
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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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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.
Stanislav S. Makhanov, Edmond J. Vanderperre (2001)
The Yugoslav Journal of Operations Research
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Sari, Murat (2009)
Mathematical Problems in Engineering
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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...
Azmy S. Ackleh, Robert R. Ferdinand, Simeon Reich (1998)
Kybernetika
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We briefly discuss an abstract approximation framework and a convergence theory of parameter estimation for a general class of nonautonomous nonlinear evolution equations. A detailed discussion of the above theory has been given earlier by the authors in another paper. The application of this theory together with numerical results indicating the feasibility of this general least squares approach are presented in the context of quasilinear reaction diffusion equations.
Landi, Germana, Piccolomini, Elena Loli, Zama, Fabiana (2008)
Computational & Mathematical Methods in Medicine
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