【摘要】 人工鱼群算法(AFSA)是一种新的智能优化算法,具有鲁棒性强、全局收敛性好,及对初值的不敏感性等特点。将人工鱼群算法运用到信号的稀疏分解中,可快速寻找匹配追踪(MP)过程中每一步分解的最佳原子。此方法提高了信号稀疏分解的速度,算法的有效性为实验结果所证实。更多还原

【Abstract】 Artificial fish-swarm algorithm is a new kind of intelligence optimization algorithm.It has a strong robustness and good global astringency,and it is also proved to be insensitive to initial values.This paper applied the artificial fish-swarm algorithm to signal sparse decomposition to fast search for approximately optimal atom at each step of matching pursuit.The method improves the speed of signal sparse decomposition and the validity of this algorithm is proved by experimental results.更多还原