Low-Complexity Multiple Description Vector Quantization With Constrained Central Codebook

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 channels loss rates, CMDVQ is preferred for its low complexity and comparable SNR performance to the conventional MDVQ.