Evidence of intermittency in the local field potentials recorded from patients with Parkinson's disease: a wavelet-based approach.
Sen, Asok K., Dostrovsky, Jonathan O. (2007)
Computational & Mathematical Methods in Medicine
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Sen, Asok K., Dostrovsky, Jonathan O. (2007)
Computational & Mathematical Methods in Medicine
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Kumar, P.Senthil, Arumuganathan, R., Sivakumar, K., Vimal, C. (2008)
International Journal of Open Problems in Computer Science and Mathematics. IJOPCM
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Sen, A.K., Kubek, M.J., Shannon, H.E. (2007)
Computational & Mathematical Methods in Medicine
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Cattani, Carlo, Kudreyko, Aleksey (2010)
Mathematical Problems in Engineering
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Roberto Galvão, Victor Becerra, João Calado, Pedro Silva (2004)
International Journal of Applied Mathematics and Computer Science
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This paper proposes a nonlinear regression structure comprising a wavelet network and a linear term. The introduction of the linear term is aimed at providing a more parsimonious interpolation in high-dimensional spaces when the modelling samples are sparse. A constructive procedure for building such structures, termed linear-wavelet networks, is described. For illustration, the proposed procedure is employed in the framework of dynamic system identification. In an example involving...
Cattani, Carlo (2010)
Mathematical Problems in Engineering
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Robert C. Morgan, G. P. Nason (1999)
Revue de Statistique Appliquée
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Nabil, T. (2009)
International Journal of Open Problems in Computer Science and Mathematics. IJOPCM
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M. Shamsi, Mohsen Razzaghi, J. Nazarzadeh, Masoud Shafiee (2004)
Kybernetika
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A simple and effective method based on Haar wavelets is proposed for the solution of Pocklington’s integral equation. The properties of Haar wavelets are first given. These wavelets are utilized to reduce the solution of Pocklington’s integral equation to the solution of algebraic equations. In order to save memory and computation time, we apply a threshold procedure to obtain sparse algebraic equations. Through numerical examples, performance of the present method is investigated concerning...
Jean-Michel Innocent, Bruno Torrésani (1997)
Banach Center Publications
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We give a short account of some time-frequency methods which are relevant in the context of gravity waves detection. We focus on the case of wavelet analysis which we believe is particularly appropriate. We show how wavelet transforms can lead to efficient algorithms for detection and parameter estimation of binary coalescence signals. In addition, we give in an appendix some of the ingredients needed for the construction of discrete wavelet decompositions and corresponding fast algorithms. ...