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pro vyhledávání: '"Zev C. Woodstock"'
Autor:
Patrick L. Combettes, Zev C. Woodstock
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
A Variational Inequality Model for the Construction of Signals from Inconsistent Nonlinear Equations
Autor:
Patrick L. Combettes, Zev C. Woodstock
Building up on classical linear formulations, we posit that a broad class of problems in signal synthesis and in signal recovery are reducible to the basic task of finding a point in a closed convex subset of a Hilbert space that satisfies a number o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01eaa8c44b048b0ed9289210b8d586f3
Under consideration are multicomponent minimization problems involving a separable nonsmooth convex function penalizing the components individually, and nonsmooth convex coupling terms penalizing linear mixtures of the components. We investigate bloc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a21d0999a5e1eae639ed80a04c0c92a
Autor:
Zev C. Woodstock, Patrick L. Combettes
Under investigation is the problem of finding the best approximation of a function in a Hilbert space subject to convex constraints and prescribed nonlinear transformations. We show that in many instances these prescriptions can be represented using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54e56f6a5eaa27c5554fabb50ed33f6f
Autor:
Patrick L. Combettes, Zev C. Woodstock
Publikováno v:
EUSIPCO
We consider the problem of recovering a signal from nonlinear transformations, under convex constraints modeling a priori information. Standard feasibility and optimization methods are ill-suited to tackle this problem due to the nonlinearities. We s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd4fe2111a3b912dc36f858a95453716
Autor:
Zev C. Woodstock, Caroline P. Lubert
Publikováno v:
Proceedings of Meetings on Acoustics.