Joint source-channel coding systems using scalable source codes and forward error correction allow reliable transmission of multimedia data over noisy channels. The performance of such systems highly depends on the source-channel bit allocation strategy. Rate-based error protection schemes, which maximize the expected source rate are very attractive for real-time applications because the optimi...

We consider the joint source-channel coding problem of sending a Gaussian source over a K-user Gaussian broadcast channel with bandwidth mismatch. A new outer bound to the achievable distortion region is derived using the technique of introducing more than one additional auxiliary random variable, which was previously used to derive sum-rate lower bound for the symmetric Gaussian multiple descr...

A general lossless joint source-channel coding scheme based on linear codes and random interleavers for multiple-access channels is presented and then analyzed in this paper. By the information-spectrum approach and the code-spectrum approach, it is shown that a linear code with good joint spectrum can be used to establish limit-approaching joint source-channel coding schemes for correlated gen...

We propose an iterative design algorithm for jointly optimizing source and channel codes. The joint design combines channel-optimized vector quantization (COVQ) for the source code with rate-compatible punctured convolutional (RCPC) coding for the channel code. Our objective is to minimize the average end-to-end distortion. For a given channel SNR and transmission rate, our joint source and cha...

Under infinite block length, from Shannon's separation theorem, it is well-known that by independent design of source coding and channel coding, the optimal throughput — capacity can be reached with careful corresponding functionalities. However, when restricted to finite theorem does not necessarily hold, hence joint source-channel (JSCC) has been raised as an alternative strategy for achievin...