联合稀疏恢复的Swarm算法，在基本particle swarm optimization (PSO)算法基础上进行改进-Inspired by particle swarm

optimization (PSO) algorithm and some sparse recovery algorithms,

a novel swarm intelligence algorithm called M-SISR is

proposed to solve the problem. In M-SISR, the initial positions of

the swarm are designed using the-thresholding

algorithm, and the update strategy is designed using the ideas of

PSO and some sparse recovery algorithms. Theoretical analysis

shows the good property of the update strategy, and numerical

simulations on random Gaussian data illustrate the efficiency of

M-SISR.