… coding scheme with both encoder and decoder powered by neural networks … -art channel
codes under AWGN channels for a moderate block length. We demonstrate that channel coding…

… , we investigate deep auto-encoders for channel coding to combat the curse of dimensionality
commonly existing in learning based coding. Inspired by convolutional codes, we use …

… His research interests are in the fields of channel coding, channel estimation, interference
cancellation, and signal processing techniques for communication systems, especially in …

… a perfectly trained autoencoder can provide the optimum channel code even for … channel
codes do not perform well, and (ii) to design a novel and practical autoencoder-based channel …

… network based channel encoder (convolutional … channel coding and modulation in an
end-to-end manner, we demonstrate that TurboAE-MOD performs comparable to modern codes …

… More explicitly, first of all, we design the MC-AE independently of both the channel coding
arrangement and of the channel model, where the output layer of the MC-AE decoder is …

… Balancing the two sources of distortion through the optimal bit allocation, in addition to
designing the best source and channel codes, makes this joint source-channel coding (JSCC) …

… channel codes is one of the core research areas for modern communication systems. Canonical
channel codes … channels. However, this achieved success does not generalize to many …

… We show that, if viewed through the lens of Joint SourceChannel Coding, the second term
can be reinterpreted as a power constraint term. This insight also helps set the groundwork for …

… channel coding schemes such as the CC that we have used, the block size K needs to be
very large in order to achieve a considerable coding … reinforcement learning auto encoder,” …