In this paper, a new independent component analysis (ICA) method is proposed that makes use of the higher order statistics. We name itjoint cumulant ICA (JC-ICA) algorithm. It can be implemented efficiently by a neural network. Its applications in AVIRTS thta and change detection are discussed. The results show the potential usage in image processing problems.
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