Add to ORKGWe study the behavior of a new family of nonlinear graph-based codes, previously introduced for compression of asymmetric binary memoryless sources, for the joint source-channel coding scenario in which the codewords are transmitted through an additive white Gaussian noise channel. We focus on low entropy sources (with high redundancy) and compression rates. Monte Carlo simulation and density evolution results show that the proposed family, with a regular and simple parametrization of the degree profiles, outperforms linear codes.Peer Reviewe
International audienceThe strong similarity between binary symmetric source (BSS) coding relative to...
This paper investigates a new communication system where two nodes want to disseminate highly correl...
We propose a constructive approach for distributed source coding of correlated binary sources using ...
We study the behavior of a new family of nonlinear graph-based codes, previously introduced for com...
Abstract—We study the behavior of a new family of non-linear graph-based codes, previously introduce...
We introduce a new family of graph-based source codes that can be regarded as a nonlinear generaliza...
Abstract—We introduce a new family of graph-based source codes that can be regarded as a nonlinear g...
We propose a novel scheme for source coding of non-uniform memoryless binary sources based on progre...
In this paper, we propose a technique for coding the data from multiple correlated binary sources, w...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer En...
Garcia-Frias, JavierA novel Joint Source Channel Scheme for the two user Gaussian Broadcast channel ...
By only sending the parity bits, joint source-channel coding can be natively achieved with low-densi...
In this paper, we propose a class of high-efficiency deep joint source-channel coding methods that c...
The aim of source coding is to represent information as accurately as possible using as few bits as ...
This paper considers the problem of communicating correlated information from multiple source nodes ...
International audienceThe strong similarity between binary symmetric source (BSS) coding relative to...
This paper investigates a new communication system where two nodes want to disseminate highly correl...
We propose a constructive approach for distributed source coding of correlated binary sources using ...
We study the behavior of a new family of nonlinear graph-based codes, previously introduced for com...
Abstract—We study the behavior of a new family of non-linear graph-based codes, previously introduce...
We introduce a new family of graph-based source codes that can be regarded as a nonlinear generaliza...
Abstract—We introduce a new family of graph-based source codes that can be regarded as a nonlinear g...
We propose a novel scheme for source coding of non-uniform memoryless binary sources based on progre...
In this paper, we propose a technique for coding the data from multiple correlated binary sources, w...
Thesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical and Computer En...
Garcia-Frias, JavierA novel Joint Source Channel Scheme for the two user Gaussian Broadcast channel ...
By only sending the parity bits, joint source-channel coding can be natively achieved with low-densi...
In this paper, we propose a class of high-efficiency deep joint source-channel coding methods that c...
The aim of source coding is to represent information as accurately as possible using as few bits as ...
This paper considers the problem of communicating correlated information from multiple source nodes ...
International audienceThe strong similarity between binary symmetric source (BSS) coding relative to...
This paper investigates a new communication system where two nodes want to disseminate highly correl...
We propose a constructive approach for distributed source coding of correlated binary sources using ...