.png){kind=icon}
返回
Maximum Likelihood BSC Parameter Estimation for the Slepian-Wolf Problem
.png){kind=icon}
OA
AI
DOI：10.1109/LCOMM.2011.122810.102182.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In the context of Distributed Source Coding, we propose a low complexity algorithm for the estimation of the cross-over probability p of the Binary Symmetric Channel (BSC) modeling the correlation between two binary sources. The coding is done with linear block codes. We propose a novel method to estimate p prior to decoding and show that it is the Maximum Likelihood estimator of p with respect to the syndromes of the correlated sources. The method can be utilized for the parameter estimation for channel coding of binary sources over the BSC.
Keyword:
Source coding
channel coding
parameter estimation
binary sequences
期刊
IF:
4.4
论文数:
1.3W
被引数:
2.2W
机构
引用论文
A TUTORIAL ON HIDDEN MARKOV-MODELS AND SELECTED APPLICATIONS IN SPEECH RECOGNITION关于语音识别中的隐马尔可夫模型和选定应用的教程.png)
PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
PREAI
分享收藏Diet selection and nutrient intake of differently supplemented Zebu cattle grazing Sahelian pastureOAAI
OAAI分享收藏The Relationship Between Static and Dynamic Risk Factors and Reconviction in a Sample of U.K. Child AbusersSexual Abuse
Sexual AbuseIF0
PREAI
分享收藏Identification of Comprehensive Geriatric Assessment Based Risk Factors for Malnutrition in Elderly Asian Cancer PatientsPLOS ONE
OAAI
PLOS ONEIF0
OAAI分享收藏
查看更多内容