Multiple description coding based on Gaussian mixture models

被引：4

作者：

Samuelsson, J ^{[1
]}

Plasberg, JH ^{[1
]}

机构：

[1] Royal Inst Technol KTH, Dept Signals Sensors & Syst Wireless, S-10044 Stockholm, Sweden

来源：

IEEE SIGNAL PROCESSING LETTERS | 2005年 / 12卷 / 06期

关键词：

Gaussian mixture models (GMMs); joint source-channel coding; multiple description coding (MDC); quantization;

D O I：

10.1109/LSP.2005.847887

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An algorithm for multiple description coding (MDC) based on Gaussian mixture models (GMMs) is presented. Based on the parameters of the GMM, the algorithm combines MDC scalar quantizers, yielding a source-optimized vector MDC system. The performance is evaluated on a speech spectrum source in terms of mean-squared error and log spectral distortion. It is demonstrated experimentally that the proposed system outperforms single description coding and repetition coding over a wide range of channel failure probabilities. The proposed algorithm has a complexity that is linear in rate and dimension while retaining a near optimal vector quantizer point density.

引用

页码：449 / 452

页数：4

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