Blind Separation of Galaxy Clusters Based on Joint Approximative Diagonalization of Eigenmatrix Algorithm
Min Lei · Machine Building & Automation · 2013
Galaxy clusters are the important phenomenon in studying the changes of the universe and the bright foreground component of the redshifted cosmic reionization signals.It is one of the key issues in restricting the exploration and observation of the universe the clusters from the bright foreground of the Galactic and to separate extragalactic discrete sources.In the experiment the Joint Approximative Diagonalization of Eigenmatrix(JADE) algorithm is used to disentangle the cluster component from the simulated bright foreground on no consideration of the effects of instrument.The experimental results illustrates that the JADE algorithm can be used to separate the cluster component from the bright foreground validly.