Astrophysical Image Separation Using Independent Component Analysis
Alireza Homayounzadeh, Mehran Yazdi, Mohammad Ali Masnadi Shirazi · 2009
In this paper an efficient method for separation of astrophysical radiations is proposed, which is based on independent component analysis (ICA). Each of the astrophysical radiation sources conveys useful information; however usually their mixtures are available. So separating these radiations from their mixtures is a necessity. As will be discussed, in this field the necessary assumptions of ICA are satisfied so it can be applied effectively. In addition some pre-processing is considered in the method to enhance the performance. Simulation results confirm the effectiveness of the method for this purpose.