@article{Kang_Chen_Yu_Wu_Zheng_Niu_2016, title={A Splitting-based Iterative Method for Sparse Reconstruction}, volume={4}, url={http://iapress.org/index.php/soic/article/view/20160305}, DOI={10.19139/soic.v4i1.204}, abstractNote={<span>In this paper, we study a <span><em>ℓ</em><span>1<span>-norm regularized minimization method for sparse solution recovery in compressed <span>sensing and X-ray CT image reconstruction. In the proposed method, an alternating minimization algorithm is employed to <span>solve the involved <span><em>ℓ</em><span>1<span>-norm regularized minimization problem. Under some suitable conditions, the proposed algorithm is <span>shown to be globally convergent. Numerical results indicate that the presented method is effective and promising.</span></span></span><br /></span></span></span></span></span></span></span&gt;}, number={1}, journal={Statistics, Optimization & Information Computing}, author={Kang, Liquan and Chen, Ying and Yu, Zefeng and Wu, Heng and Zheng, Zijun and Niu, Shanzhou}, year={2016}, month={Feb.}, pages={57-67} }