Performance Comparisons of Greedy Algorithms in Compressed Sensing
Compressed sensing has motivated the development of numerous sparse approximation algorithms designed to return a solution to an underdetermined system of linear equations where the solution has the fewest number of nonzeros possible, referred to as the sparsest solution. In the compressed sensing s...
Auteurs principaux: | Blanchard, J, Tanner, J |
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Format: | Report |
Publié: |
Wiley
2013
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