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Title: Sparse signal reconstruction with ellipsoid enlargement
Other Titles: Elli?psoi?d geni?şletmeyle seyrek si?nyal geri? oluşturma
Authors: Gürbüz, Ali Cafer
Pilancı Mert
Arıkan, Orhan
Issue Date: 2011
Publisher: IEEE Computer Society
Abstract: 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 constraint
Ax - b
2 = ? and iteratively resetting the axes where the signal is zero. The proposed method has a higher reconstruction performance compared to standard iterative and ?1 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.
ISBN: 9781457704635
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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