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arXiv · 1801.09937

Binary Compressive Sensing via Smoothed $\ell_0$ Gradient Descent

Tianlin Liu·Dae Gwan Lee
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Abstract

We present a Compressive Sensing algorithm for reconstructing binary signals from its linear measurements. The proposed algorithm minimizes a non-convex cost function expressed as a weighted sum of smoothed $\ell_0$ norms which takes into account the binariness of signals. We show that for binary signals the proposed algorithm outperforms other existing algorithms in recovery rate while requiring a short run time.

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Tianlin Liu, Dae Gwan Lee. 2018-07-28. Binary Compressive Sensing via Smoothed $\ell_0$ Gradient Descent. https://arxiv.org/abs/1801.09937

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