Expectation maximisation-based approach to recovering multiple sparse signals with common sparsity pattern
Sign Up to like & getrecommendations! Published in 2018 at "Electronics Letters"
DOI: 10.1049/el.2017.1913
Abstract: The problem of simultaneously recovering multiple sparse signals bearing a common sparsity pattern is addressed. Specifically, a common Gaussian prior to all the sparse signals under consideration is assigned. This can make that the signals… read more here.
Keywords: sparse; sparsity pattern; recovering multiple; sparse signals ... See more keywords
Sparse Approximate Inverse Preconditioner With Parametric Sparsity Pattern Applied to the Macrobasis Function Methods
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Antennas and Wireless Propagation Letters"
DOI: 10.1109/lawp.2018.2819085
Abstract: An efficient approach for the generation of sparse preconditioners, tailored for the application of macrobasis function methods, is described in this letter. The preconditioner is highly scalable and generated by the computing groups of rows… read more here.
Keywords: preconditioner; macrobasis function; function methods; sparsity pattern ... See more keywords