We propose an adaptive lossy joint source-channel coding (JSCC) scheme for sending correlated sources over two-terminal discrete-memoryless two-way channels (DM-TWCs). The main idea is to couple the independent operations of terminals via mechanism, which can mitigate cross-interference resulting from simultaneous channel transmissions and concurrently exploit sources' correlation reduce end-to...

In this paper, we present an optimized trellis coded vector quantization (TCVQ) coding system designed for the effective and robust coding of LSF spectral parameters at low bit rate. The aim of this system, called at the beginning « LSF-OTCVQ Encoder », is to achieve a low bit rate transparent quantization of LSF parameters of the US Federal Standard (FS1016) speech Codage conjoint source-canal...

Layered (LC) and multiple description coding (MDC) have been proposed as source coding techniques that are robust to channel errors for video transmission. In this paper, we investigate and study the error-resilience capabilities of these two encoding techniques through extensive experimentation, and explore the environments where they perform best. Although some of our conclusions agree with t...

We review feedback-based low bit-rate video coding techniques for robust transmission in mobile multimedia networks. For error control on the source coding level, each decoder has to make provisions for error detection, resynchronization, and error concealment, and we review techniques suitable for that purpose. Further, techniques are discussed for intelligent processing of acknowledgment info...

Topics in source and channel coding for audiovisual communication systems are studied. The goal of source coding is to represent a source with the lowest possible rate to achieve a particular distortion, or with the lowest possible distortion at a given rate. Channel coding adds redundancy to quantized source information to recover channel errors. This thesis consists of four topics. Firstly, b...

We formulate a problem considering the implications of conditional mean estimation based on unknown or approximated source statistics with respect to the mean squared error of the estimates. Since we are specially interested in a solution for a multiterminal quantization problem where the statistical properties of the data to be estimated might play a key role towards finding a mathematical sol...

of the Dissertation Two Problems in Multiterminal Information Theory

In wireless multihop networks, multihop packet transmissions over error-prone wireless links cause significant performance degradation. In this paper, we study a multicast system in wireless multihop networks with Forward Error Correction (FEC) for packet erasures. Although FEC is a powerful tool to recover packet erasures, it has an inherent problem that burdens the network with overhead due t...