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Binary Bits Dataset
The dataset used in this paper is a collection of binary bits, turbo encoded and decoded using the proposed RNN architecture. -
Simulation Framework for Turbo Encoding and Decoding
The dataset used in this paper is a simulation framework for turbo encoding and decoding operations. It consists of four autoencoding problems: one for encoding and three for... -
Friendly Attack Dataset
The dataset used in the paper is a collection of modulated codewords and their corresponding noisy versions, used for training and testing the friendly attack algorithm. -
Turbo Encoder with Two Recursive Systematic Convolutional (RSC) Encoders and ...
The dataset used in the paper is a turbo encoder with two recursive systematic convolutional (RSC) encoders, and a finite-memory channel with memory length L = 3. -
AWGN Channel with Noisy Feedback
The dataset used in the paper is the AWGN channel with noisy feedback, where the terminals send and receive signals over a pair of independent AWGN channels. -
Component Training of Turbo Autoencoders
The dataset used in this paper is a serial Turbo Autoencoder (TurboAE) with Gaussian priors (TGP) for component training.
