New compressive sampling matching pursuit algorithm
一种新的压缩采样匹配追踪算法

This paper proposed a new more useful completely perturbed model, which incorporated multiplicative noise correlated with the signal. It presented a new compressive sampling matching pursuit algorithm based on the new model. The proposed algorithm could recover the signal in high probability by constructing sensing measurement matrix which mitigated the coherent interference to get the best support of the signal even in the present of multiplicative noise. The experimental results show that under the same condition, the proposed algorithm can get better reconstruction performances and it is superior to other greedy algorithms and the BP algorithm.