Improved transmission of vector quantized data over noisy channels

被引：0
|
作者：
Chi-Sing Leung
John Sum
Herbert Chan
机构：
[1] City University of Hong Kong,Department of Electronic Engineering
[2] Chung Shan Medical University,Department of Information Management
[3] University of Science and Technology,undefined
来源：
Neural Computing and Applications | 2008年 / 17卷
关键词：
Vector quantization; Self-organizing map;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The conventional channel-optimized vector quantization (COVQ) is very powerful in the protection of vector quantization (VQ) data over noisy channels. However, it suffers from the time consuming training process. A soft decoding self-organizing map (SOM) approach for VQ over noisy channels is presented. Compared with the COVQ approach, it does not require a long training time. For AWGN and fading channels, the distortion of the proposed approach is comparable to that of COVQ. Simulation confirmed that our proposed approach is a fast and practical method for VQ over noisy channels.
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页码：1 / 9
页数：8
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