supported by the National Natural Science Foundation of China (61172138);the Specialized Research Fund for the Doctoral Program of Higher Education (200807011007);the Natural Science Basic Research Program in Shannxi Province of China (2013JQ8040)
A new iterative algorithm is proposed to reconstruct an unknown sparse signal from a set of projected measurements. Unlike existing greedy pursuit methods which only consider the atoms having the highest correlation w...