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eess.SP2018
Fast Iterative Shrinkage for Signal Declipping and Dequantization
Lucas Rencker, Francis Bach, Wenwu Wang +1
We address the problem of recovering a sparse signal from clipped or quantized measurements. We show how these two problems can be formulated as minimizing the distance to a convex…
eess.SP2018
Sparse Recovery and Dictionary Learning from Nonlinear Compressive Measurements
Lucas Rencker, Francis Bach, Wenwu Wang +1
Sparse coding and dictionary learning are popular techniques for linear inverse problems such as denoising or inpainting. However in many cases, the measurement process is nonlinea…