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
fDate :
3/1/2003 12:00:00 AM
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;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2003.809727