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Laurent Duval. Université Gustave-Eiffel-ESIEE Paris & IFP Energies nouvelles; Research amateur, engineer, project. ... L Duval, C Faure, D Simon, M Ben Gaid. Simulation 93 (3), 185-200, 2017. 36: 2017: Method for detection of abnormal combustion for internal combustion engines.
Laurent Duval, research amateur in data science, signal analysis, image processing, machine learning; aside: sparsity, puns and anagrams. Networks: Academia - ACM - AMiner/ArNetMiner - arXiv - Bento biorXiv - blog - BlueSky - DBLP - Github - GoogleScholar - HAL - LinkedIn - Mastodon - Math Genealogy - MatlabCentral - ORCID - PublicationsList - ...
Mike Mangini. Carl Restivo. Laurent Duval. Website. www .extreme-band .com. Extreme is an American rock band formed in Boston, Massachusetts, in 1985, that reached the height of their popularity in the late 1980s and early 1990s. They have released six studio albums, two EPs (in Japan) and two compilation albums since their formation.
In 1998, he was a Research Assistant with the Multidimensional Digital Signal Processing (MDSP) Lab, Boston University, Massachusetts. He now works with IFP Energies nouvelles (IFPEN) and is an invited Researcher with ESIEE Paris, University of Paris-Est.
11 de oct. de 2018 · About. Trial software. BEADS Baseline Estimation And Denoising with Sparsity. Version 1.7.0.1 (341 KB) by Laurent Duval. Remove baseline, background or drift and random noise from (positive and) sparse signals (analytical chemistry, chromatographic peaks) http://www.laurent-duval.eu/siva-beads-baseline-background-removal-filtering-sparsity.html.
Laurent Duval, Caroline Chaux, Jean-Christophe Pesquet and Karine Broto, SIAM GS 2005, SIAM Conference on Mathematical and Computational Issues in the Geosciences, Avignon, France, June 2005 Seismic data analysis with a dual-tree M-band wavelet transform
A Primal-Dual Proximal Algorithm for Sparse Template-Based Adaptive Filtering: Application to Seismic Multiple Removal. Mai Quyen Pham, Laurent Duval, Caroline Chaux, Jean-Christophe Pesquet. Journal-ref: IEEE Transactions on Signal Processing, Volume 62, Issue 16, August 2014, pages 4256--4269.
