In the previous work on multiple description lattice vector quantizers (MDLVQs) with L≥ 3
descriptions, once the central and side lattice codebooks are fixed, the decoding quality is …

Distributed storage systems have been receiving increasing attention lately due to the
developments in cloud and grid computing. Furthermore, a major part of the stored …

We design a K-description scalar quantizer, whose construction is based on a structure of
translated scalar lattices and a lattice in K-1 dimensional space. The use of translated …

This paper is about the design and analysis of an index-assignment (IA)-based multiple-
description coding scheme for the n-channel asymmetric case. We use entropy constrained …

This paper addresses the design of symmetric entropy-constrained multiple description
scalar quantizers (EC-MDSQ) with linear joint decoders, ie, where some of the decoders …

In this paper, we propose a lattice-based robust distributed source coding system for two
correlated sources and provide a detailed performance analysis under the high resolution …

This work compares theoretically the performance of several representative practical
multiple description (MD) frameworks with L≥ 3 symmetric descriptions. The first scenario is …

In this paper, we propose a lattice-based robust distributed source coding system for three
correlated sources and provide a detailed performance analysis under the high resolution …

In previous work on multiple description lattice vector quantizers (MDLVQ) with L≥ 3
descriptions, once the central and side lattice codebooks are fixed, the decoding quality is …

The problem of robust distributed source coding for three correlated sources is studied in
this work. A lattice-based scheme is proposed and the analysis of its performance is …