Leveraging Diversity and Sparsity in Blind Deconvolution
IEEE This paper considers recovering L-dimensional vectors w, and x1, x2,...,xN from their circular convolutions yn = w * x [subscript n]; n = 1, 2, 3,...,N. The vector w is assumed to be S-sparse in a known basis that is spread out in the Fourier domain, and each input x[subscript n] is a member of...
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Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2018-06-01T18:35:55Z.
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Subjects: | |
Online Access: | Get fulltext |