Metrics and norms used for obtaining sparse solutions of Linear Systems of Equations
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This paper focuses on defining a measure, appropriate for obtaining optimally sparse solutions of undefined linear systems of equations.* The general idea is the extension of metrics in n-dimensional spaces via the Cartesian product of metric spaces. *The following work done, was within the completion of my master thesis titled "Algorithms for the computation of sparse solutions of undefined systems of equations" at the department of Mathematics, University of Athens which was assigned to me in association with the department of Informatics and Telecommunications, National and Kapodistrian University of Athens.
[1] Michael Elad,et al. From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images , 2009, SIAM Rev..
[2] Michael Elad,et al. Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization , 2003, Proceedings of the National Academy of Sciences of the United States of America.