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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
