n-channel entropy-constrained multiple-description lattice vector quantization

In this paper, we derive analytical expressions for the central and side quantizers which, under high-resolution assumptions, minimize the expected distortion of a symmetric multiple-description lattice vector quantization (MD-LVQ) system subject to entropy constraints on the side descriptions for g...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on information theory Vol. 52; no. 5; pp. 1956 - 1973
Main Authors:	Ostergaard, J., Jensen, J., Heusdens, R.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.05.2006 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Applied sciences Centralized control Coding, codes Communication channels Counters Data compression Descriptions Distortion Entropy Exact sciences and technology High-rate quantization Information systems Information, signal and communications theory lattice quantization Lattices Materials science and technology Mathematical analysis Mathematical models multiple-description coding (MDC) Numerical simulation Packet switched networks Probability Sampling, quantization Signal and communications theory Simulation Source coding Switching and signalling Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Transmission and modulation (techniques and equipments) Vector quantization Performance evaluation Packet switching State of the art High resolution Vector quantization Redundancy Data compression Two channel system Loss rate Data transmission n channel Entropy multiple-description coding (MDC) Analytical method Numerical simulation Quantifier Transmission loss Multiple channel lattice quantization High-rate quantization
ISSN:	0018-9448, 1557-9654
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!