Approach to weak signal extraction and detection via sparse representation

The sparsity models and their popular evaluation algorithms were presented. A sparse representation based approach to weak signal extraction and detection was proposed. Furthermore, a fast algorithm was developed to reduce the computational complexity of the proposed method. In addition, both qualitative and quantitative evaluation methods were designed to analyze the proposed approach. A large number of experiments demonstrate the robustness and the adaptivity of the proposed approach. © 2015, Editorial Board of Journal on Communications. All right reserved.