Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/5263
Title: Constraint removal for sparse signal recovery
Authors: Şahin, Ahmet
Özen, Serdar
Keywords: Compressed sensing
Greedy pursuit
Sparse recovery
Underdetermined system
Signal reconstruction
Publisher: Elsevier Ltd.
Source: Şahin, A. and Özen, S. (2012). Constraint removal for sparse signal recovery. Signal Processing, 92(4), 1172-1175. doi:10.1016/j.sigpro.2011.11.014
Abstract: 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.
URI: http://dx.doi.org/10.1016/j.sigpro.2011.11.014
http://hdl.handle.net/11147/5263
ISSN: 0165-1684
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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