Moderate deviations for joint source-channel coding of systems with Markovian memory

机译：与马尔维亚内存系统的联合源通道编码的适度偏差

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

We study the (almost lossless) joint source-channel coding problem from the moderate deviations perspective where the bandwidth expansion ratio tends towards the ratio of the channel capacity and source entropy at a rate larger than n−1/2 (n being the channel blocklength) and the error probability decays subexponentially. We consider the stationary ergodic Markov (SEM) source as well as discrete memoryless and additive SEM channels. We also discuss the loss due to separation in the moderate deviations setting.

机译：我们研究（几乎无损）关节源通道编码问题来自中等偏差透视图，其中带宽扩展比趋于大于N-1/2的速率的频道容量和源熵的比率（n是通道块长度）误差概率衰减分沉重。我们考虑静止的ergodic Markov（SEM）源以及离散的无记忆和添加剂SEM频道。我们还讨论了由于中等偏差设置中的分离导致的损失。

著录项

来源
《Institute of Electrical and Electronics Engineers International Symposium on Information Theory》|2014年||共5页
会议地点
作者
Tan Vincent Y.F.; Watanabe Shun; Hayashi Masahito;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类通信理论;
关键词

相似文献

外文文献
中文文献
专利

1. Distributed joint source-channel coding for relay systems exploiting source-relay correlation and source memory [J] . Xiaobo Zhou, Meng Cheng, Khoirul Anwar, Eurasip Journal on Wireless Communications and Networking . 2012,第1期

机译：利用源－中继关联和源存储器的中继系统分布式联合源－信道编码
2. On the joint source-channel coding error exponent for discrete memoryless systems [J] . Yangfan Zhong, Alajaji F., Campbell L.L. IEEE Transactions on Information Theory . 2006,第4期

机译：离散无记忆系统的联合信源信道编码误差指数
3. Joint Source-Channel Coding of Sources with Memory using Turbo Codes and the Burrows-Wheeler Transform [J] . Del Ser Javier, Crespo Pedro M., Esnaola Inaki, Communications, IEEE Transactions on . 2010,第7期

机译：使用Turbo码和Burrows-Wheeler变换的具有存储器的源的联合源通道编码
4. Moderate deviations for joint source-channel coding of systems with Markovian memory [C] . Tan Vincent Y.F., Watanabe Shun, Hayashi Masahito Institute of Electrical and Electronics Engineers International Symposium on Information Theory . 2014

机译：具有马尔可夫记忆的系统的联合信源信道编码的适度偏差
5. Single and multiple antenna communication systems: Performance analysis and joint source-channel coding. [D] . Behnamfar, Firouz. 2004

机译：单天线和多天线通信系统：性能分析和联合源信道编码。
6. Photon-Counting Underwater Optical Wireless Communication for Reliable Video Transmission Using Joint Source-Channel Coding Based on Distributed Compressive Sensing [O] . Zhu Hong, Qiurong Yan, Zihang Li, 2019

机译：基于分布式压缩传感的联合源信道编码的光子计数水下光无线通信用于可靠的视频传输
7. On the Joint Source-Channel Coding Error Exponent for Discrete Memoryless Systems: Computation and Comparison with Separate Coding [O] . Zhong, Y., Alajaji, F., Campbell, L. L. 2006

机译：关于离散系统的联合信源编码误差指数无记忆系统：单独编码的计算和比较
8. Optimal Data Compression,Finite Memory,and Joint Source-Channel Encoding. [R] . hellman,martin e. 1975

机译：最佳数据压缩，有限存储器和联合源 - 信道编码。

Moderate deviations for joint source-channel coding of systems with Markovian memory

摘要

著录项

相似文献

相关主题

期刊订阅