In this paper, a Joint Source Channel coding scheme based on LDPC codes is investigated. We consider two concatenated LDPC codes, one allows to compress a correlated source and the second to protect it against channel degradations. The original information can be reconstructed at the receiver by a joint decoder, where the source decoder and the channel decoder run in parallel by transferring ex...

We derive a random-coding upper bound on the average probability of error of joint source-channel coding that recovers Csiszár’s error exponent when used with product distributions over the channel inputs. Our proof technique for the error probability analysis employs a code construction for which source messages are assigned to subsets and codewords are generated with a distribution that depen...

We propose a novel factor graph framework for joint source-channel coding for communication with a-delity criterion. We consider a class of source models that are used in current state-of-the-art transform image coding schemes. We construct a global graph-ical model that includes both the channel coding redundancy and the source model and we apply the sum-product algorithm to estimate the trans...

Traditionally, joint source-channel coding is viewed in the block coding context — all the source symbols are known in advance by the encoder. Here, we consider source symbols to be revealed to the encoder in real time and require that they be reconstructed at the decoder within a certain fixed end-to-end delay. We derive upper and lower bounds on the reliability function with delay for cases w...

The use of wavelets in the broad areas of source coding, communications, and networks is surveyed. Specifically, the impact of wavelets and wavelet theory in image coding, video coding, image interpolation, image-adaptive lifting transforms, multiple-description coding, and joint source-channel coding is overviewed. Recent contributions in these areas arising in the subsequent papers of the pre...

The principles which have been prevailing so far for designing communication systems rely on Shannon’s source and channel coding separation theorem [1]. This theorem states that source and channel optimum performance bounds can be approached as close as desired by designing independently the source and channel coding strategies. However, this theorem holds only under asymptotic conditions, wher...

In this paper, we investigate the joint design of channel and network coding in bidirectional relaying systems and propose a combined low complexity physical network coding and LDPC decoding scheme. For the same LDPC codes employed at both source nodes, we show that the relay can decode the network coded codewords from the superimposed signal received from the BPSK-modulated multiple-access cha...

The use of wavelets in the broad areas of source coding, communications, and networks is surveyed. Specifically, the impact of wavelets and wavelet theory in image coding, video coding, image interpolation, image-adaptive lifting transforms, multipledescription coding, and joint source-channel coding is overviewed. Recent contributions in these areas arising in subsequent papers of the present ...

We consider the problem of sending a common source to several users simultaneously at possibly different level of distortion. In this paper we review the classical information theoretic results on Broadcast Channels, then we examine the optimality of analog communication (single-letter coding) and we review the Hybrid Digital Analog (HDA) approach. Finally we motivate the need of all digital tr...

Joint source and channel decoding (JSCD) has been proved to be an effective technique which can improve decoding performance by exploiting residual source redundancy. Most previous publications on this subject focus on a traditional coding scheme in which the source variable-length coding (VLC) is serially concatenated with a channel code. In this paper, a parallel concatenated coding scheme fo...