Stéphane Jaffard

ORCID: 0000-0003-1671-0608
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About
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Research Areas
  • Image and Signal Denoising Methods
  • Complex Systems and Time Series Analysis
  • Mathematical Dynamics and Fractals
  • Mathematical Analysis and Transform Methods
  • Financial Risk and Volatility Modeling
  • Fractal and DNA sequence analysis
  • Image Retrieval and Classification Techniques
  • Advanced Mathematical Modeling in Engineering
  • Chaos control and synchronization
  • Advanced Harmonic Analysis Research
  • Time Series Analysis and Forecasting
  • Numerical methods in inverse problems
  • Stochastic processes and financial applications
  • advanced mathematical theories
  • Seismic Imaging and Inversion Techniques
  • Neural Networks and Applications
  • Blind Source Separation Techniques
  • Cultural Heritage Materials Analysis
  • Advanced Mathematical Theories and Applications
  • Statistical and numerical algorithms
  • Advanced Numerical Analysis Techniques
  • Industrial Vision Systems and Defect Detection
  • Gas Dynamics and Kinetic Theory
  • Medical Image Segmentation Techniques
  • Mathematical Approximation and Integration

Université Paris-Est Créteil
2016-2025

Centre National de la Recherche Scientifique
2016-2025

Université Gustave Eiffel
2014-2025

Laboratoire d’Analyse et de Mathématiques Appliquées
2016-2025

Université Paris Cité
1997-2024

Paris-Est Sup
2010-2023

Yale University
2018

University of Liège
2017

Université de Lille
2016

Institut Polytechnique de Bordeaux
2015

The multifractal formalism for functions relates some functional norms of a signal to its "Hölder spectrum" (which is the dimension set points where has given Hölder regularity). This was initially introduced by Frisch and Parisi in order numerically determine spectrum fully turbulent fluids; it later extended Arneodo, Bacry, Muzy using wavelet techniques since been used many physicists. Until now, only supported heuristic arguments verified few specific examples. Our purpose investigate...

10.1137/s0036141095282991 article EN SIAM Journal on Mathematical Analysis 1997-07-01

10.1090/memo/0587 article EN Memoirs of the American Mathematical Society 1996-01-01

Following a basic idea of Wilson [“Generalized Wannier functions,” preprint] orthonormal bases for $L^2 (\mathbb{R})$ which are variation on the Gabor scheme constructed. More precisely, $\phi \in L^2 is constructed such that $\psi _{ln } $, $l \mathbb{N}$, $n \mathbb{Z}$, defined by \[ \begin{gathered} \psi _{0n} (x) = \phi \left( {x - n} \right) \hfill \\ _{in} \sqrt 2 \frac{n} {2}} \right)\cos (2\pi lx)\,{\text{if}}\,l \ne 0,\,l + n 2\mathbb{Z} \right)\sin 1, \end{gathered} \] constitute...

10.1137/0522035 article EN SIAM Journal on Mathematical Analysis 1991-03-01

10.1016/s0294-1449(16)30287-6 article FR Annales de l Institut Henri Poincaré C Analyse Non Linéaire 1990-10-01

This paper shows that the use of wavelets to discretize an elliptic problem with Dirichlet or Neumann boundary conditions has two advantages: explicit diagonal preconditioning makes condition number corresponding matrix become bounded by a constant and order approximation is locally spectral type (in contrast classical methods); using conjugate gradient method, one thus obtains fast numerical algorithms resolution. A comparison also drawn between wavelet methods.

10.1137/0729059 article EN SIAM Journal on Numerical Analysis 1992-08-01

In this paper, we shall compare three notions of pointwise smoothness: the usual definition, J.M. Bony's two-microlocal spaces Cxós,, and corresponding definition on wavelet coefficients .The purpose is mainly to show that these provide "good substitutes" for Hdlder regularity condition ; they can be very precisely compared with condition, have more functional properties, characterized by conditions coefficients.We also give applications properties.In Part 2 some results microlocal contained...

10.5565/publmat_35191_06 article EN Publicacions Matemàtiques 1991-01-01

10.1007/s004400050224 article EN Probability Theory and Related Fields 1999-05-01

In this paper we introduce and study the self-similar functions. We prove that these functions have a concave spectrum (increasing then decreasing) different formulas were proposed for multifractal formalism allow us to determine either whole increasing part of their or it. One methods (the wavelet-maxima method) yields complete spectrum.

10.1137/s0036141095283005 article EN SIAM Journal on Mathematical Analysis 1997-07-01

10.1016/s0021-7824(00)00161-6 article EN publisher-specific-oa Journal de Mathématiques Pures et Appliquées 2000-06-01

We determine the Holder regularity of Riemann's function at each point; we deduce from this analysis its spectrum singularities, thus showing multifractal nature.

10.4171/rmi/203 article EN Revista Matemática Iberoamericana 1996-08-31

10.1307/mmj/1029004386 article EN The Michigan Mathematical Journal 1991-01-01

We prove that the Hölder singularities of random lacunary wavelet series are chirps located on fractal sets. determine Hausdorff dimensions these singularities, and a.e. modulus continuity series. Lacunary thus turn out to be a new example multifractal functions.

10.1214/aoap/1019737675 article EN The Annals of Applied Probability 2000-02-01

Textures in images can often be well modeled using self-similar processes while they may simultaneously display anisotropy. The present contribution thus aims at studying jointly selfsimilarity and anisotropy by focusing on a specific classical class of Gaussian anisotropic selfsimilar processes. It will first shown that accurate joint estimates the parameters are performed replacing standard 2D-discrete wavelet transform with hyperbolic transform, which permits use different dilation...

10.1109/tip.2013.2272515 article EN IEEE Transactions on Image Processing 2013-07-09
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