Compressed sensing for block-sparse smooth signals
Compressed sensing for block-sparse smooth signals
复制标题
块稀疏平滑信号的压缩感知
DOI：
10.1109/icassp.2014.6854386
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
G. Leus
中科院分区：
文献类型：
--
作者：
S. Gishkori;G. Leus
我们提出了从压缩测量中获得块稀疏性的平滑信号的重建算法。我们通过组稀疏最小绝对收缩选择算子（LASSO）以及潜在组 LASSO 正则化来解决不同组大小的问题。我们通过融合实现信号的平滑度。我们通过乘法器的交替方向方法为我们提出的公式开发低复杂度求解器。
We present reconstruction algorithms for smooth signals with block sparsity from their compressed measurements. We tackle the issue of varying group size via the group-sparse least absolute shrinkage selection operator (LASSO) as well as via latent group LASSO regularizations. We achieve smoothness in the signal via fusion. We develop low-complexity solvers for our proposed formulations through the alternating direction method of multipliers.