Equation Section 1 Robust progressive image transmission over unreliable channels with variable bandwidth requires Multiple Description Coding (MDC) systems that produce highly error-resilient embedded bitstreams. The proposed Embedded Multiple Description Scalar Quantizers (EMDSQ) meet the desired features consisting of a high redundancy level, fine grain rate adaptation and progressive transm...

This paper presents a new Multiple Description Lattice Vector Quantization (MDLVQ) based on A4 lattice quantizers for multiple description coding abbreviated as MDLVQ-A4. The Coinciding similar A4 sublattices are used to quantize the input stream for multiple description coding system. The use of multiple coinciding quantizers eliminates the labeling function of the traditional schemes. Experim...

A framework for joint source/channel coding of speech is presented. It is based on a harmonic representation of the speech signal and facilitates efficient quantization of harmonic amplitudes and phases both in a single description and a multiple description setting. Furthermore, it combines high-quality packet loss concealment with efficient source coding and multiple description coding. Two p...

Multiple description coding (MDC) provides error resilience by producing several descriptions of the source so that various quality reconstructions can be obtained from any subset of the descriptions. The use of correlating transforms within the MDC framework has been studied for “on-off” channels, such as packet-switched channels. Since this channel model is not appropriate for wireless system...

This paper examines the use of Multiple Description Coding (MDC) for information transmission over multiple correlated erasure channels. It addresses the problem of optimal rate allocation between descriptions to attain the minimum possible average distortion at the receiver. The rate allocation problem is formulated on the basis of rate-distortion theory for the general case of unbalanced MDC ...