Complex recurrent neural network for computing the inverse and pseudo-inverse of the complex matrix

A complex recurrent neural network (CRNN) is formulated and applied to compute the complex matrix inverse in real time. Both full rank and rand deficient matrices are considered. This paper extends recent works which apply real recurrent networks for real-valued matrix inversion.

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