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Low-Rank Toeplitz Matrix Estimation Via Random Ultra-Sparse Rulers
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Low-Rank Toeplitz Matrix Estimation Via Random Ultra-Sparse Rulers
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We study how to estimate a nearly low-rank Toeplitz covariance matrix T from compressed measurements. Recent work of Qiao and Pal addresses this problem by combining sparse rulers (sparse linear arrays) with frequency finding (sparse Fourier transform) al
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