The Weighted L2,1 Minimization for Partially Known Support
The Weighted L2,1 Minimization for Partially Known Support
复制标题
DOI：
10.1007/s11277-016-3458-7
复制
发表时间：
2016-11
影响因子：
2.2
通讯作者：
Haifeng Li
中科院分区：
文献类型：
--
作者：
Haifeng Li
当部分支持信息已知时，提出了从有限数量的测量中重建信号的加权最小化方法。得到了加权最小化的重构误差界，并证明了我们的充分条件优于估计支持精度至少为50%的情况。以喉部图像序列为例，验证了该方法的有效性。
A weightedL2,1minimization is proposed for signal reconstruction from a limited number of measurements when partial support information is known. The reconstruction error bound of the weightedL2,1minimization is obtained and our sufficient condition is shown to be better thanif the estimated support is at least 50 % accurate. Experiments are given for larynx image sequence to illustrate the validity of the proposed method.