Convex Variational Formulation with Smooth Coupling for Multicomponent Signal Decomposition and Recovery
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Publication:3571757
DOI10.4208/nmtma.2009.m9009szbMath1201.94021OpenAlexW144276833MaRDI QIDQ3571757
Patrick L. Combettes, Luis M. Briceño-Arias
Publication date: 8 July 2010
Published in: Numerical Mathematics: Theory, Methods and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.4208/nmtma.2009.m9009s
Convex programming (90C25) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)
Related Items (12)
Proximal Splitting Methods in Signal Processing ⋮ Monotone operator theory in convex optimization ⋮ Multivariate Monotone Inclusions in Saddle Form ⋮ Proximal algorithms for multicomponent image recovery problems ⋮ Dualization of signal recovery problems ⋮ Proximal Activation of Smooth Functions in Splitting Algorithms for Convex Image Recovery ⋮ Analysis and Numerical Solution of a Modular Convex Nash Equilibrium Problem ⋮ Reconstruction of functions from prescribed proximal points ⋮ Stochastic Quasi-Fejér Block-Coordinate Fixed Point Iterations with Random Sweeping ⋮ A splitting algorithm for coupled system of primal-dual monotone inclusions ⋮ A splitting algorithm for system of composite monotone inclusions ⋮ A Variational Inequality Model for the Construction of Signals from Inconsistent Nonlinear Equations
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