A Greedy Multistage Convex Relaxation Algorithm Applied to Structured Group Sparse Reconstruction Problems Based on Iterative Support Detection

Figure 8

Comparison results of different primal-based ADMs, dual-based ADMs, and the corresponding GM-ADMs (nonoverlapping group sparse Bernoulli cases). The -axe represents number of measurements, and the -axe represents relative error, respectively. The maximum number of stages: . Noise level of top row: . Middle row: . Bottom row: .