DocumentCode
455249
Title
Low-Complexity Multiple Description Vector Quantization With Constrained Central Codebook
Author
Zhou, Yugang ; Chan, Wai-Yip
Author_Institution
Dept. of Electr. & Comput. Eng., Queen´´s Univ.
Volume
4
fYear
2006
fDate
14-19 May 2006
Abstract
Conventional multiple description vector quantizers (MDVQ) have high complexity, which limits their practical application. Two central-codebook-constrained MDVQ (CMDVQ) schemes are proposed to reduce the storage and search complexity. Simulation results show that for low channel loss rates, a tradeoff exists between choosing CMDVQ for its low complexity and the conventional MDVQ for its higher signal-to-noise ratio (SNR) performance. For medium to high channel loss rates, CMDVQ is preferred for its low complexity and comparable SNR performance to the conventional MDVQ
Keywords
computational complexity; search problems; vector quantisation; SNR; channel loss rates; constrained central codebook; low-complexity multiple description vector quantization; search complexity; signal-to-noise ratio; Application software; Bit rate; Computational complexity; Computational modeling; Decoding; Delay; Internet telephony; Partitioning algorithms; Performance loss; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location
Toulouse
ISSN
1520-6149
Print_ISBN
1-4244-0469-X
Type
conf
DOI
10.1109/ICASSP.2006.1660943
Filename
1660943
Link To Document