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Reports by Corporate Author

JOSEPH FOURIER UNIV GRENOBLE (FRANCE)


Click on the titles below to find US government-authored or -collected reports written by JOSEPH FOURIER UNIV GRENOBLE (FRANCE)

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Wavelets for Regression Smoothing 07 JAN 2005 56 pages
Authors:  Anestis Antoniadis; JOSEPH FOURIER UNIV GRENOBLE (FRANCE)
The full text of this report is available for sale.OUTLINE: * Generalities on nonparametric regression * Penalized regression splines * Penalized wavelet estimation with quadratic penalties * Other penalties and model selection * Extensions


Mechanics of Multi Walled Carbon Nanotubes Probed by AFM APR 2001 5 pages
Authors:  S. Decossas; L. Patrone; F. Comin; J. Chevrier; JOSEPH FOURIER UNIV GRENOBLE (FRANCE)
The full text of this report is available for sale.Using the AFM tip, nanotubes are caught on a raw sample then deposited on a clean surface with an absolute precision better than 500nm. A nanostructured surface made of smooth Germanium dots on flat silicon was used as deposition sample. Nanotube mechanics is probed by AFM tip induced displacement. Nanotubes are shown to be blocked by Ge dots: it is impossible to induce a controlled displacement of the nanotube over ...


Analysis of Scalar Datasets on Multi-Resolution Geometric Models 2000 10 pages
Authors:  Alexandre Gerussi; Georges-Pierre Bonneau; JOSEPH FOURIER UNIV GRENOBLE (FRANCE)
The full text of this report is available for sale.Recently, multi-resolution methods based on non-nested spaces were introduced to allow the visualization and approximation of functions defined on irregular triangulations. This paper comes back to these methods and shows more precisely how the subdivision/prediction/correction scheme of ordinary wavelet-based multi-resolution analysis (MRA) is also present in that framework. As an illustration, it is demonstrated how it can be applied in two of the classical issues of MRA: compression and level-of-detail ...


Advantages of Topological Tools in Localization Methods 2000 10 pages
Authors:  Mohammed Khachan; Patrick Chenin; JOSEPH FOURIER UNIV GRENOBLE (FRANCE)
The full text of this report is available for sale.Let C = ?X epsilon IR(sup n) / f(X) = 0!, n epsilon ?2,3!, where f is a polynomial function. We want to approximate C by subdividing the parameter space. Most of the usual algorithms raise two problems: data structure management, and the choice of subdivision level which respects the geometry of C. This paper gives a method based on a topological approach. In this work, we specify the local ...


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