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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Bibliographic Details
Main Authors: Ahmed, Ali (Contributor), Demanet, Laurent (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Mathematics (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2018-06-01T18:35:55Z.
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