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Title: A new OMP technique for sparse recovery
Other Titles: Seyrek geriçatma i?çin yeni bir OMP yöntemi
Authors: Teke, Oğuzhan
Gürbüz, Ali Cafer
Arıkan, Orhan
Issue Date: 2012
Source: 2012 20th Signal Processing and Communications Applications Conference, SIU 2012, 18 April 2012 through 20 April 2012, Fethiye, Mugla, 90786
Abstract: Compressive Sensing (CS) theory details how a sparsely represented signal in a known basis can be reconstructed using less number of measurements. However in reality there is a mismatch between the assumed and the actual bases due to several reasons like discritization of the parameter space or model errors. Due to this mismatch, a sparse signal in the actual basis is definitely not sparse in the assumed basis and current sparse reconstruction algorithms suffer performance degradation. This paper presents a novel orthogonal matching pursuit algorithm that has a controlled perturbation mechanism on the basis vectors, decreasing the residual norm at each iteration. Superior performance of the proposed technique is shown in detailed simulations. © 2012 IEEE.
ISBN: 9781467300568
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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