In the 50 years since Shannon determined the capacity of ergodic channels, the construction of capacity-approaching coding schemes has been the supreme goal of coding research. Finally today, we know of practical codes and decoding algorithms that can closely approach the channel capacity of some classical memoryless channels. It is a remarkable fact motivating this special issue that all known practical, capacity-approaching coding schemes are now understood to be codes defined on graphs, together with the associated iterative decoding algorithms
Key to the success of modern error correcting codes is the effectiveness of message-passing iterativ...
Mathematical coding theory addresses the problem of transmitting information reliably and efficientl...
This work is concerned with codes, graphs and their links. Graph based codes have recently become ve...
High data rate applications are beginning to push the limits of communication and computer systems. ...
In the last six years, we have witnessed an explosion of interest in the coding theory community, in...
The growing popularity of a class of linear block codes called the low-density parity-check (LDPC) c...
It is well known that turbo codes, LDPC codes, and repeat-accumulate (RA) codes can approach Shannon...
This chapter is an introduction to modern coding theory. The encoding and decoding principles of sev...
This dissertation presents a systematic exposition on finite-block-length coding theory and practice...
Error-correcting codes seek to address the problem of transmitting information efficiently and relia...
We look at graphical descriptions of block codes known as trellises, which illustrate connections be...
The conception of turbo codes by Berrou et al. has created a renewed interest in modern graph-based ...
This thesis addresses the theory and implementation aspects of iteratively decodable codes. Iterativ...
There is no doubt that long random-like code has the potential to achieve good performance because o...
In this paper we investigate correcting properties of LDPC codes obtained from families of algebraic...
Key to the success of modern error correcting codes is the effectiveness of message-passing iterativ...
Mathematical coding theory addresses the problem of transmitting information reliably and efficientl...
This work is concerned with codes, graphs and their links. Graph based codes have recently become ve...
High data rate applications are beginning to push the limits of communication and computer systems. ...
In the last six years, we have witnessed an explosion of interest in the coding theory community, in...
The growing popularity of a class of linear block codes called the low-density parity-check (LDPC) c...
It is well known that turbo codes, LDPC codes, and repeat-accumulate (RA) codes can approach Shannon...
This chapter is an introduction to modern coding theory. The encoding and decoding principles of sev...
This dissertation presents a systematic exposition on finite-block-length coding theory and practice...
Error-correcting codes seek to address the problem of transmitting information efficiently and relia...
We look at graphical descriptions of block codes known as trellises, which illustrate connections be...
The conception of turbo codes by Berrou et al. has created a renewed interest in modern graph-based ...
This thesis addresses the theory and implementation aspects of iteratively decodable codes. Iterativ...
There is no doubt that long random-like code has the potential to achieve good performance because o...
In this paper we investigate correcting properties of LDPC codes obtained from families of algebraic...
Key to the success of modern error correcting codes is the effectiveness of message-passing iterativ...
Mathematical coding theory addresses the problem of transmitting information reliably and efficientl...
This work is concerned with codes, graphs and their links. Graph based codes have recently become ve...