We propose deep learning based communication methods for adaptive-bandwidth transmission of images over wireless channels. consider the scenario in which are transmitted progressively layers time or frequency, and such can be aggregated by receivers order to increase quality their reconstructions. investigate two scenarios, one sent sequentially, incrementally contribute refinement a reconstruc...

We extend our earlier work on guessing subject to distortion to the joint source-channel coding context. We consider a system in which there is a source connected to a destination via a channel and the goal is to reconstruct the source output at the destination within a prescribed distortion level with respect to (w.r.t.) some distortion measure. The decoder is a guessing decoder in the sense t...

This paper investigates the problem of communicating video over a broadcast channel. The broadcast channel is expressed in terms of the channel capacity that exists between the transmitter and each receiver in the broadcast area { Shannon's separation theorem does not apply for video communication over this class of channels. Digital (discrete time, discrete amplitude) and hybrid (discrete time...

in dramatically different subjective performance. These results clearly demonstrate the efficacy of this joint source-channel coding approach. VII. CONCLUSION We have presented a joint source-channel coding approach to ATM-based network transport of digital video which simultaneously maximizes the number of source streams that can be supported while minimizing the end-to-end distortion. An info...

We demonstrate that there is an intimate relationship between the magnetic properties of Derrida’s random energy model (REM) of spin glasses and the problem of joint source–channel coding in Information Theory. In particular, typical patterns of erroneously decoded messages in the coding problem have “magnetization” properties that are analogous to those of the REM in certain phases, where the ...

In this paper, we develop an approach toward joint source-channel coding for motion-compensated DCT-based scalable video coding and transmission. A framework for the optimal selection of the source and channel coding rates over all scalable layers is presented such that the overall distortion is minimized. The algorithm utilizes universal rate distortion characteristics which are obtained exper...

We demonstrate that there is an intimate relationship between the magnetic properties of Derrida’s random energy model (REM) of spin glasses and the problem of joint source–channel coding in Information Theory. In particular, typical patterns of erroneously decoded messages in the coding problem have “magnetization” properties that are analogous to those of the REM in certain phases, where the ...

Suppose that two senders each obtain one share of the output of a classical, bivariate, correlated information source. They would like to transmit the correlated source to a receiver using a quantum multiple access channel. In prior work, Cover, El Gamal, and Salehi provided a combined sourcechannel coding strategy for a classical multiple access channel which outperforms the simpler “separatio...