SAR image filtering in wavelet domain by subband depended shrink.
Nabil, T. (2009)
International Journal of Open Problems in Computer Science and Mathematics. IJOPCM
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Nabil, T. (2009)
International Journal of Open Problems in Computer Science and Mathematics. IJOPCM
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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...
Robert C. Morgan, G. P. Nason (1999)
Revue de Statistique Appliquée
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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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Stephan Dahlke, Reinhard Hochmuth, Karsten Urban (2000)
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
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Jérémie Bigot (2005)
ESAIM: Probability and Statistics
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This paper is concerned with the problem of determining the typical features of a curve when it is observed with noise. It has been shown that one can characterize the Lipschitz singularities of a signal by following the propagation across scales of the modulus maxima of its continuous wavelet transform. A nonparametric approach, based on appropriate thresholding of the empirical wavelet coefficients, is proposed to estimate the wavelet maxima of a signal observed with noise at various...
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. ...
Petrov, Miroslav (2013)
Serdica Journal of Computing
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An approach to building a CBIR-system for searching computer tomography images using the methods of wavelet-analysis is presented in this work. The index vectors are constructed on the basis of the local features of the image and on their positions. The purpose of the proposed system is to extract visually similar data from the individual personal records and from analogous analysis of other patients.
Yves Meyer (2000)
Atti della Accademia Nazionale dei Lincei. Classe di Scienze Fisiche, Matematiche e Naturali. Rendiconti Lincei. Matematica e Applicazioni
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JPEG-2000 has the potential to be the most significant advance in still image compression since the introduction of JPEG over a decade ago. JPEG-2000 is a wavelet based algorithm and it relies on new estimates on wavelet coefficients of functions of bounded variation. These new estimates have far reaching implications in pure mathematics.
Laskov, Lasko (2012)
Serdica Journal of Computing
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ACM Computing Classification System (1998): I.7, I.7.5. In this paper an approach to document line segmentation is presented. The algorithm is based on a wavelet transform of the horizontal projective profile of the document image. The projective profile is examined as a one-dimensional discrete signal which is decomposed using the pyramidal wavelet algorithm up to a precise scale, where local minima and maxima are discovered. These local extrema, projected into the input...