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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