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...

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Detalhes bibliográficos
Principais autores: Blanchard, J, Tanner, J
Formato: Report
Publicado em: Wiley 2013