The problem of joint source-channel coding is considered for a stationary remote (noisy) Gaussian source and a Gaussian channel. The encoder and decoder are assumed to be causal and their combined operations are subject to a delay constraint. It is shown that, under the mean-square error distortion metric, an optimal encoder-decoder pair from the linear and time-invariant (LTI) class can be fou...

The problem of lossless fixed-rate streaming coding of discrete memoryless sources with side information at the decoder is studied. A random time-varying tree-code is used to sequentially bin strings and a Stack Algorithm with a variable bias uses the side information to give a delay-universal coding system for lossless source coding with side information. The scheme is shown to give exponentia...

The straightforward application of Shannon’s separation principle may entail a significant suboptimality in practical systems with limited coding delay and complexity. This is particularly evident when the lossy source code is based on entropy-coded quantization. In fact, it is well known that entropy coding is not robust to residual channel errors. In this paper, a joint source-channel coding ...

Analog Joint Source-Channel Coding (JSCC) has been shown to approach the optimal distortion-cost tradeoff when transmitting over AWGN channels. In this work we consider analog JSCC over frequency-selective channels using Orthogonal Frequency Division Multiplexing (OFDM) modulation and multiple antennas at transmission and/or reception, i.e. using a MIMO-OFDM system. Due to its high complexity, ...

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. For the case where the channel is a DMC we construct an implementable sche...

Abstract—An effective way of providing error resilience with a relatively small reduction in compression ratio is multiple description coding (MDC). All multiple description codes to date assume the existence of multiple independent “on-off” channels between the transmitter and receiver. Each link is either broken in which case the symbols or packets are completely lost, or it functions properl...

In this paper, a Bose-Chaudhuri-Hocquenghem (BCH) coder in the field of the real numbers is investigated for simultaneous source coding and impulse noise cancellation of satellite images. Our channel is a binary symmetric channel (BSC). Our approach is to make a carefully designed interpolation of the subband images prior to quantization and transmission. Compared to a classical tandem source a...

Recent advancements in iterative source-channel decoding (ISCD) focus on the optimization of a single processing step of source coding (like the index assignment) or of channel coding. In this paper, we propose a new design guideline for a more general optimization of the overall ISCD scheme. In particular, we discuss how to allocate a given gross bit rate to source and channel coding. The new ...