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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
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
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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