… the problem of joint source-channel coding with distortion and … rate) of transmission over
uncertain channels. We find a new finite… the activation of hidden neural unit parts by adding a KL …

… In this letter, we propose a new convolutional autoencoder for PNC in wireless relay
networks. Specifically, the proposed PNC scheme, henceforth referred to as deep PNC (D-PNC), …

… code families and for short codeword lengths, we observe that (i) structured codes are easier
to learn and (ii) the neural … But using NN for channel coding is special because we deal with …

… pursued in monaural source separation, where state-of-the-art neural architectures have …
OFDM source model, we assess—and question—the efficacy of using audio-oriented neural …

… audio source separation. We propose a framework where deep neural networks (DNNs)
are used to model the source spectra and combined with the classical multichannel Gaussian …

… embedded in multi-channel recordings. We propose a neural spatial audio coding framework
that achieves a high compression ratio, leveraging single-channel neural sub-band codec …

… NEURAL SOURCE CODING In order to further reduce the bandwidth, we propose the use
of Neural Source Coding (NSC), a framework becoming more and more popular in image …

… encoding parameters of channel codes and three types of channel codes recognizers based
on the recurrent neural … mechanism [37], and the residual neural network (ResNet) [29] are …

… In this paper, we propose a joint source-channel coding scheme based on VQ-VAE for …
encoder and decoder on a given dataset and channel conditions to develop efficient encoding …

… In this paper, we propose a novel neural network structure for jointly … usually includes
source coding, channel coding, and … , channel estimation, equalization, demodulation, channel …