Sparse signal reconstruction with ellipsoid enlargement [Elli̇psoi̇d geni̇şletmeyle seyrek si̇nyal geri̇ oluşturma]
2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011
793 - 796
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Please cite this item using this persistent URLhttp://hdl.handle.net/11693/28382
In this work a novel method for reconstructing sparse x in a noisy full rank linear system such as b = Ax + n is developed. The proposed method depends on enlarging the ellipsiod defined by the data constraintAx - b2 = ε and iteratively resetting the axes where the signal is zero. The proposed method has a higher reconstruction performance compared to standard iterative and ℓ1 norm minimization based sparse recovery methods. Also our method relaxes the sparsity level constraint to be reconstructed by the standard methods for an underdetermined system. © 2011 IEEE.