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Matrix rank estimation is a classical problem with many applications in statistical signal processing. In this letter, a logistic function based thresholding of the singular values is proposed for the rank estimation purpose. Parameters of the proposed shrinkage function are tuned using Stein’s unbiased risk estimator. The proposed method is shown to outperform the state-of-the-art methods in terms...
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