image deblurringIn this paper, a new reweighted minimization algorithm for image deblurring is proposed. The algorithm is based on a generalized inverse iteration and linearized Bregman iteration, which is used for the weighted minimization problem . In the computing process, the effective using of ...
Abstract: With the emergence of new compressive sensing theory, L1-norm minimization algorithm used in processing and optimizing signals has become a hot topic in recent years, because the conventional algorithms, for example, interior-point method, are inefficient in solving large-scale data. More ...
ThePerformanceAnalysisandComparisonforFastL1-MinimizationAlgorithm LIUJie',LIKun—lun3 (1.InformationEngineeringConegeofNanChangUniversity,Nanchang330031,China;2. Branch92ofNo.91388Army,Zhanjiang 524001,China;3.ScienceandTechnologyConegeofNanchangUniversity,Nanchang3300 ...
关键词: L1 范数;同伦算法; 迭代收缩阈值; 近端梯度;增广拉格朗日乘子;梯度投影中图分类号: TP391 文献标识码: A 文章编号: 1009-3044(2011)19-4641-03 The Performance Analysis and Comparison for Fast L1-Minimization Algorithm LIU Jie1,2, LI Kun-lun3 (1.Information Engineering College of NanChang ...
We develop a corresponding fast iterative truncation algorithm (FITRA) with l1 minimization and show numerical results to demonstrate tremendous PAR-reduction capability The significantly reduced linearity requirements ultimately enable the use of low-cost RF components for the large-scale MU-MIMO-OFDM ...
L1 minimization 1. Gradient Based Sparse Coding (GB-SC). Refer to the paper "Transformation Invariant Sparse Coding". 2. Fast Iterative Shrinkage/Thresholding Algorithm (FISTA). Refer to the paper "A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems"...
关键词: 超定线性方程组; 极小 ll模剩余向量; 相容方程组中图分类号: O242 文献标识码: AAn Algorithm for Minimizing !l- Norm toOverdetermined Linear EguationsYAO Jian-kang(Coiiege of Science, ~ohai University, Jiangsu Nanjing 2l0098 PRC)Abstract: Using the minimum ll- norm residue vector, we ...
The algorithm consists of solving a sequence of weighted L1-minimization problems where the weights used for the next iteration are computed from the value of the current solution. We present a series of experiments demonstrating the remarkable performance and broad applicability of this algorithm in ...
的线性方程组。最后的算例表明该算法具有简单、易于操作等优点。 关键词:超定线性方程组;极小l l 模剩余向量;相容方程组 中图分类号:O242文献标识码:A AnAlgorithmforMinimizing! l -Normto OverdeterminedLinearEuations YAOJan kang (CoiiegeofScence,~ohaUnversty,JangsuNanjng2l0098PRC) Abstract:Usngthemnmuml...
An algorithm (SNTLN) has been developed which can be used to solve the SI problem by minimizing the residual error in the L1 norm. In this paper the convergence of the SNTLN algorithm is shown, and computational results for two different types of signal are presented, one of which is ...