Recent works have shown that joint source-channel coding (JSCC) schemes using deep neural networks (DNNs), called DeepJSCC, provide promising results in wireless image transmission. However, these methods mostly focus on the distortion of reconstructed signals with respect to input image, rather than their perception by humans. focusing traditional metrics alone does not necessarily result high...

The compression or coding of a signal (e.g., speech, text, image, video) has been a topic of great interest for a number of years. Numerous results and successful compression standards exist. Source compression is the enabling technology behind the multimedia revolution we are experiencing. The two primary applications for data compressing are storage and transmission. Video transmission is the...

In this letter we present a novel approach for robust source transmission where variablelength source and channel encoding are concatenated in parallel. Simulation results show that for waveform source signals the proposed scheme shows a strong increase in decoding performance compared to the typically applied serially concatenated scheme. Introduction: Recently, joint source-channel coding (JS...

We consider the problem of distributed joint source-channel coding of correlated Gaussian sources over a Gaussian Multiple Access Channel (MAC). There may be side information at the encoders and/or at the decoder. First we specialize a general result in [16] to obtain sufficient conditions for reliable transmission over a Gaussian MAC. This system does not satisfy the source channel separation....

Source vs. Channel coding • Source coding: represent the source information with the minimum of symbols • Channel coding: represent the source information in a manner that minimizes the error probability in decoding

We investigate the problem of simultaneous transmission and coordination for a point-to-point communication model. The encoder and decoder choose their symbols/actions (i.e. channel input and decoder output) in order to transmit information and to coordinate themselves. This paradigm has promising repercussions for future decentralized networks. Exploiting the coordination capabilities, devices...

This paper quantifies the fundamental limits of variable-length transmission of a general (possibly analog) source over a memoryless channel with noiseless feedback, under a distortion constraint. We consider excess distortion, average distortion and guaranteed distortion (d-semifaithful codes). In contrast to the asymptotic fundamental limit, a general conclusion is that allowing variable-leng...

We consider zero-delay joint source-channel coding of individual source sequences for a general known channel. Given an arbitrary finite set of schemes with finite-memory (not necessarily time-invariant) decoders, a scheme is devised that does essentially as well as the best in the set on all individual source sequences. Using this scheme, we construct a universal zero-delay joint source-channe...

We propose a joint source channel coding system for fractal image codes in which both a transmission bit rate allocation scheme and an unequal error protection strategy are considered. We express the total distortion in terms of the source distortion and the channel distortion. Then, we allocate the available total bit rate between the source code and a range of error-correcting codes using a L...