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arXiv · 1812.01540

Fast Iterative Shrinkage for Signal Declipping and Dequantization

Lucas Rencker·Francis Bach·Wenwu Wang·Mark D. Plumbley
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Abstract

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 feasibility set, which provides a convex and differentiable cost function. We then propose a fast iterative shrinkage/thresholding algorithm that minimizes the proposed cost, which provides a fast and efficient algorithm to recover sparse signals from clipped and quantized measurements.

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Lucas Rencker, Francis Bach, Wenwu Wang, Mark D. Plumbley. 2018-12-04. Fast Iterative Shrinkage for Signal Declipping and Dequantization. https://arxiv.org/abs/1812.01540

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