.png){kind=icon}
返回
Generalized sparse codes for non-Gaussian channels: Code design, algorithms, and applications
.png){kind=icon}
OA
AI
DOI：10.1016/j.fmre.2021.12.006.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this paper, generalized sparse (GS) codes are proposed to support reliable and efficient transmission over non-Gaussian channels. Specifically, by expanding the single-parity check (SPC) code constraints with powerful algebraic codes, GS codes generalize conventional sparse codes with enhanced error-correcting capability, as well as better code design flexibility by covering a wide range of block-lengths and coding rates with reduced encoding/decoding complexity. Moreover, by introducing a universal communication channel model, a general framework for performance analysis and code design of GS codes is formulated, by which the coding parameters can be optimized for different target channel conditions. Finally, example codes are constructed for several critical application scenarios with non-Gaussian channels. Numerical simulations are performed to demonstrate the superiority of the proposed GS coding scheme to traditional channel coding schemes.
Keyword:
Generalized sparse codes
Low-density parity-check codes
Low-density BCH codes
Non-Gaussian channels
EXIT Chart analysis
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
6.3
论文数:
1.3K
被引数:
2.6K
机构
引用论文
Three-dimensional nanofabrication via ultrafast laser patterning and kinetically regulated material assembly通过超快激光图案化和动力学调节的材料组装进行三维纳米加工.png)
Science
OAAI
ScienceIF0
OAAI分享收藏分享收藏Improved progressive-edge-growth (PEG) construction of irregular LDPC codes不规则LDPC码的改进渐进边增长 (PEG) 构造
PREAI
分享收藏
查看更多内容