Elements of information theory
Elements of information theory
Generalized Multiple Description Vector Quantization
DCC '99 Proceedings of the Conference on Data Compression
Design of Asymmetric Multiple Description Lattice Vector Quantizers
DCC '00 Proceedings of the Conference on Data Compression
Successive Refinement on Trees: A Special Case of a New MD Coding Region
DCC '01 Proceedings of the Data Compression Conference
Design of Tree-Structured Multiple Description Vector Quantizers
DCC '01 Proceedings of the Data Compression Conference
Variable-rate tree-structured vector quantizers
IEEE Transactions on Information Theory
Hi-index | 0.00 |
Multiple description coding aims at transmitting two mutually refinable descriptions of a signal on two different communication channels. It is successfully applied to transmission of sound and images on diversity systems or packet-switched networks. We present novel algorithms for the design of multiply descriptive tree-structured vector quantizers with linear encoding complexity that improve on our previously published methods. These algorithms allow for both the rates and distortions constraints in a natural way and are shown to yield quantizers that are competitive with full-search codes in terms of rate-distortion performance. We also present a generalization of the scheme to more than two channels.