Paper: | SPCOM-P1.6 |
Session: | Coding and Compression |
Time: | Tuesday, May 16, 10:30 - 12:30 |
Presentation: |
Poster
|
Topic: |
Signal Processing for Communication: Joint source-channel coding and quantization, iterative decoding algorithms |
Title: |
Low-Complexity Multiple Description Vector Quantization with Constrained Central Codebook |
Authors: |
Yugang Zhou, Wai-Yip Chan, Queen's University, Canada |
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. |