Widely Linear Complex-valued Autoencoder: Dealing with Noncircularity in Generative-Discriminative Models

5 Mar 2019 Zeyang Yu Shengxi Li Danilo Mandic

We propose a new structure for the complex-valued autoencoder by introducing additional degrees of freedom into its design through a widely linear (WL) transform. The corresponding widely linear backpropagation algorithm is also developed using the $\mathbb{CR}$ calculus, to unify the gradient calculation of the cost function and the underlying WL model... (read more)

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