摘要
在基于粒子群算法码书设计研究中,提出采用随机概率扰动的方式作为基本粒子群算法的全局极值更新条件,从而增加全局最优区域的搜索能力,避免了粒子过早的"趋同性"。
In particle swarm optimization based codebook design, the global best position updating condition in basic particle swarm optimization algorithm is proposed. Random probability condition is adopted to update the global best position, thus extending the global search area and avoiding the premature phenomenon.
出处
《通信技术》
2009年第2期171-173,共3页
Communications Technology
关键词
矢量量化
码书设计
粒子群算法
vector quantization
codebook design
particle swarm algorithm