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Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising
Approximate Message Passing Lasso Group Lasso, Joint Sparsity, James- Stein, Minimax Risk over Nearly-Black Objects Minimax Risk of Soft Thresholding Minimax Risk of Firm Thresholding Minimax Shrinkage Nonconvex penalization State Evolution Total Variation Minimization Monotone Regression.
2015/8/21
Compressed sensing posits that, within limits, one can undersample a sparse signal and yet reconstruct it accurately. Knowing the precise limits to such undersampling is important both for theory and ...