DocumentCode
1183600
Title
Optimization of the index assignments for multiple description vector quantizers
Author
Görtz, Norbert ; Leelapornchai, Pornchai
Author_Institution
Inst. for Commun. Eng., Munich Univ. of Technol., Germany
Volume
51
Issue
3
fYear
2003
fDate
3/1/2003 12:00:00 AM
Firstpage
336
Lastpage
340
Abstract
The optimization criterion and a practically feasible new algorithm is stated for the optimization of the index assignments of a multiple-description unconstrained vector quantizer with an arbitrary number of descriptions. In the simulations, the index-optimized multiple-description vector quantizer achieves significant gains in source signal-to-noise ratio over scalar multiple description schemes.
Keywords
optimisation; vector quantisation; index assignments; index-optimized multiple-description vector quantizer; multiple description vector quantizers; optimization criterion; source signal-to-noise ratio; Communications Society; Decoding; Helium; Lattices; Signal Processing Society; Signal processing algorithms; Signal to noise ratio; Tree data structures; Vector quantization; Video signal processing;
fLanguage
English
Journal_Title
Communications, IEEE Transactions on
Publisher
ieee
ISSN
0090-6778
Type
jour
DOI
10.1109/TCOMM.2003.809727
Filename
1194435
Link To Document