Compressed Sensing Reconstruction Algorithm Based on Spectral Projected Gradient Pursuit
基于谱投影梯度追踪的压缩感知重建算法

In order to improve the reconstruction accuracy and efficiency of the directional pursuit algorithm, a compressed sensing (CS) reconstruction algorithm based on spectral projected gradient (SPG) pursuit is proposed. Directional pursuit frame is adopted by this algorithm. The update direction and step length are computed by spectral projected gradient method. Local optimal is avoided by adopting the nonmonotone line search strategy. The validity of the proposed algorithm was proved by the experimental results. The balance between reconstruction accuracy and efficiency of the algorithm can be achieved by setting an appropriate threshold parameter.