Abstract
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.
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