基于双字典集的信号稀疏分解算法

被引:6
作者
王树朋
王文祥
李宏伟
机构
[1] 中国地质大学数学与物理学院
基金
中央高校基本科研业务费专项资金资助;
关键词
双字典集; 过完备字典集; 匹配追踪; 核匹配追踪; 重复加权提升搜索;
D O I
暂无
中图分类号
TP18 [人工智能理论]; TN911.7 [信号处理];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ; 0711 ; 080401 ; 080402 ;
摘要
为得到关于信号更为稀疏的表示,提出一种基于双字典集的信号稀疏分解算法。在算法过程中,建立如下两个字典集:已选字典集和待选字典集。该算法以重复加权提升搜索(RWBS)算法为基础,增加了一步更为严格的从待选字典集中选择最佳核函数的过程,故该算法在保留初始算法的优点的同时,可以产生更为稀疏的模型。通过仿真实验和真实数据实验验证了所提算法的性能。
引用
收藏
页码:2512 / 2515
页数:4
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