This paper proposes a new adaptive source-channel coding scheme in the context of subband coding. We rst express the total mean-squared distortion su ered by the source in terms of source and channel distortions of the subbands. We then minimize this total distortion by an appropriate choice of source and channel coding rates for the subbands. This corresponds to casting the conventional bit al...

This article presents methods for robust and efficient communication over wireless channels. Both benefits and limitations of the classical approach of separate source and channel coding are discussed. Joint source-channel coding (JSCC) is presented as the most promising scheme for communication of analogue sources over wireless channels, due to its ability to cope with varying channel qualitie...

A new approach to joint source–channel coding is presented in the context of communicating correlated sources over multiple access channels. Similar to the separation architecture, the joint source– channel coding system architecture in this approach is modular, whereby the source encoding and channel decoding operations are decoupled. However, unlike the separation architecture, the same codew...

We derive novel upper and lower finite-length bounds of the error probability in joint source-channel coding when the source obeys the ergodic Markov process and the channel is a Markovian additive channel or a Markovian conditional additive channel. These bounds achieve the tight bounds in the large and moderate deviation regimes. Index Terms Markov chain, joint source-channel coding, finite-l...

Multi-task learning (MTL) is an efficient way to improve the performance of related tasks by sharing knowledge. However, most existing MTL networks run on a single end and are not suitable for collaborative intelligence (CI) scenarios. In this work, we propose network with deep joint source-channel coding (JSCC) framework, which allows operating under CI We first feature fusion based (FFMNet) o...