We consider three typical problems arising in optimization, control, and identification, which are characterized by sparsity, i.e., incomplete representation of data. These three problems are Stable matrix comple-tion, Sparse feedback design, and Sparse signal recovery. A unified LMI-based approach is taken as a solution tool, the results of numerical experiments are reported.