Forward - Backward Greedy Algorithms for Atomic Norm Regularization.

IEEE Transactions on Signal Processing(2015)

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摘要
In many signal processing applications, the aim is to reconstruct a signal that has a simple representation with respect to a certain basis or frame. Fundamental elements of the basis known as “atoms” allow us to define “atomic norms” that can be used to formulate convex regularizations for the reconstruction problem. Efficient algorithms are available to solve these formulations in certain specia...
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关键词
Atomic measurements,Signal processing algorithms,Tensile stress,Signal processing,Image reconstruction,Convergence,Optimization
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