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We establish in the world of stochastic processes a theoretical relation between sparsity and wavelets. The underlying principle is to treat stochastic processes as generalized functions, which facilitates the study of their properties in a transform domain. We focus on symmetric--stable (SS) processes, with . They are central to a recently proposed framework for sparse stochastic processes. The case $0
Michaël Unser, Julien René Pierre Fageot, John Paul Ward
Nikola Besic, Urs Martin Germann, Daniele Nerini
Michaël Unser, Julien René Pierre Fageot, John Paul Ward