压缩感知的主要研究内容有信号的稀疏表达、观测矩阵的设计和信号恢复。精确的信号恢复算法是压缩感知中的关键。因此本文在压缩感知理论框架下研究恢复算法中的凸优化算法- Compressive sensing offers a variety of research fields, including signal sparse representation, sensing matrix design, signal reconstruction. Accurately signal reconstr

各种稀疏表达，求优化问题，代入数据后可直接运行。-sparse representation

K-SVD算法用于稀疏表达,基于OMP算法。(The algorithm is apply for sparse representation)

K-SVD算法用于稀疏表达，基于OMP算法。(The algorithm is apply for the sparse representation.)