摘要
通过引入一个用于评价多维独立成分分析(MICA)算法性能的指标,进行数值仿真来研究其分离性。将多维Amari分离误差作为度量多维独立成分分析算法性能的一个重要指标,在比较分析研究vkMICA、cfMICA、MSOBI、SJADE等四个算法的分离性能的基础上,使用随机分布生成的字母信号进行仿真与测试,直观地显示了MICA模型的分离效果和不确定性。研究结果显示,MICA是一种非常有效的进行多维源信号分析的方法。
By introducing an indicator to evaluate performance of Multidimensional Independent Component Analysis（MICA） algorithm,the separation was studied by numerical simulation.The multidimensional Amari separation error was used as an important indicator of the measurement of MICA algorithm performance.In the comparative separation performance analysis of four algorithms named vkMICA,cfMICA,MSOBI,SJADE,a random distribution of letters signal was used for simulation and testing,and a visual representation of MICA model of separation and uncertainty was got.The results show that MICA is a very effective method for multidimensional source signal analysis.
出处
《计算机应用》
CSCD
北大核心
2012年第4期994-998,共5页
journal of Computer Applications
关键词
多维独立成分分析
多维Amari
数值仿真
信号测试
Multidimensional Independent Component Analysis（MICA）
multidimensional Amari
numerical simulation
signal testing
