… Here, we present Autoturbo-DNA, an end-to-end autoencoder framework that combines
the TurboAE principles with an additional pre-processing decoder, DNA data storage channel …

… code design in communication systems, yielding … autoencoder (AE) based communication
system in [12]–[14]. More advanced NNs were proposed in [15] where a scheme using a Turbo…

… Architecture We construct an autoencoder network for the two-user interference channel by
… processes of DeepIC, which allows us to mimic Turbo autoencoders introduced in [14]. At the …

… channel. However, to enable intelligent and collaborative exploration of the underwater
environment, such a communication … The system uses an Autoencoder (AE) to enable intelligent, …

… Viswanath, “Turbo autoencoder: Deep learning based channel codes for point-to-point
communication channels,” Advances in neural information processing systems, vol. 32, 2019. [5] …

… Viswanath, “Turbo autoencoder: Deep learning based channel codes for pointto-point
communication channels,” Advances in neural information processing systems, vol. 32, pp. 2758–…

… , and then incorporate an LDPC code to this autoencoder. In … to integrate a turbo code to
an autoencoder to handle the … of a turbo code; (ii) utilize a modified autoencoder architecture; …

… and can learn to communicate more efficiently than model-based … This study proposed an
autoencoder communication system … neural network-based autoencoder systems while largely …

… In the next section, we introduce Turbo Autoencoder (TURBOAE) [6], an autoencoder-based
neural code for point-to-point channels, which is used as the backbone for DEEPIC+. …

… Among the learning methods, variational autoencoder (VAE) is a generation model, which …
the field of communication. A method using VAE in the data communications field is provided […