Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration
نویسندگان
چکیده
منابع مشابه
2 5 M ay 2 01 1 Relaxing Tight Frame Condition in Parallel Proximal Methods for Signal Restoration ∗
A fruitful approach for solving signal deconvolution problems consists of resorting to a framebased convex variational formulation. In this context, parallel proximal algorithms and related alternating direction methods of multipliers have become popular optimization techniques to approximate iteratively the desired solution. Until now, in most of these methods, either Lipschitz differentiabili...
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ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2012
ISSN: 1053-587X,1941-0476
DOI: 10.1109/tsp.2011.2173684