摘要
针对无线环境信道系统恶劣且不稳定的特点,提出一种压缩感知和非对称Turbo码的联合信源信道编码方案。该方案将具有很好压缩性能的压缩感知技术与具有强纠错能力的非对称Turbo码结合实现了自适应图像压缩传输的联合信源信道编码。可以根据基于二维压缩感知的信道估计方法来估计无线信道环境,动态地调整压缩感知的参数以及非对称Turbo码的编码策略来提高图像的传输效率和重建质量。实验仿真结果表明,根据不同的无线信道环境采用不同的压缩感知的采用测量数以及非对称Turbo码的类型,能够提高图像的传输效率,使图像恢复质量与图像传输速率达到最优的平衡。
For the characteristic of channel system in radio environment being harsh and unstable,this paper proposed a jointing source and channel coding scheme which is based on compressed sensing and asymmetric Turbo codes. The scheme combines the compressed sensing technology which has good compression performance with the asymmetric Turbo code which has strong error correction capability,thus realises the joint source and channel coding with adaptive compressed image transmission. According to 2D compression sensing-based channel estimation method,this scheme estimates radio channel environment and dynamically adjusts the parameters of compressed sensing and the encoding strategies of asymmetric Turbo codes to improve image＇s transmission efficiency and the reconstruction quality. Experimental simulation results show that to use different measurement number of compressed sensing and types of asymmetric Turbo code according to different radio channel environment,the transmission efficiency of image can be improved,and the quality restoration and transmission rate of image can achieve the optimal balance.
出处
《计算机应用与软件》
CSCD
2015年第8期110-113,共4页
Computer Applications and Software
基金
国家自然科学基金项目(61072075)
湖北省自然科学基金项目(2013CFB448)
中央高校基本科研业务费专项资金重点项目(CZZ13001)
关键词
压缩感知
正交匹配追踪
非对称Turbo码
联合信源信道编码
Compressed sensing Orthogonal matching tracking Asymmetric Turbo codes Joint source and channel code
