Daily Archives: January 17, 2022

Leveraging Diversity and Sparsity in Blind Deconvolution

  • January 17, 2022
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This paper considers recovering L-dimensional vectors w, and x 1 , x 2 , ? , x N from their circular convolutions y_{n} = w * x_{n} , n = 1, 2, 3, ? , N. The vector wis assumed to be S-sparse in a known basis that is spread out in the Fourier domain, […]

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