Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği

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Access Right: Open AccessInstitution Author: search.filters.institutionAuthor.Şahin, Ahmet

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  • Article
    Citation - WoS: 2
    Citation - Scopus: 4
    Constraint Removal for Sparse Signal Recovery
    (Elsevier Ltd., 2012) Şahin, Ahmet; Özen, Serdar; Özen, Serdar; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    This paper presents a new iterative algorithm called constraint removal (CR) for the recovery of a sparse signal x from an incomplete number of linear measurements y such that ym× 1= Am× nxn× 1 and m<n. It is empirically demonstrated that the CR algorithm has a recovery performance which is between basis pursuit linear programming (BP-LP) and subspace pursuit (SP) for both zero-one and Gaussian type signals.