[[abstract]]In this paper we present and describe an improved version of the Zero-Neighbors algorithm, which we call the Zero-Coverings algorithm. We also present a method for finding a smallest subset of codewords ( Zero-Coverings) which need to be stored to perform the Zero-Coverings algorithm. For some short codes, the sizes of Zero-Coverings are obtained by computer searches; for long codes, an asymptotic bound on the sizes of such subsets is also given.[[note]]SC
Most decoding algorithms of linear codes, in general, are designed to correct or detect errors. Howe...
This paper presents two new iterative algorithms for decoding linear codes based on their tail bitin...
Abstruct- In this partially tutorial paper, we examine minimal trellis representations of linear blo...
[[abstract]]In this paper we present and describe an improved version of the Zero-Neighbors algorith...
Several researchers have presented techniques for decoding linear block codes that convert the decod...
AbstractWe examine new approaches to the problem of decoding general linear codes under the strategi...
Includes bibliographical references (p. 39)Linear block codes are used in modern communication and d...
We suggest a decoding algorithm of q-ary linear codes, which we call supercode decoding. It ensures ...
We propose a simple optimal a posteriori probability (APP) symbol decoding algorithm for linear bloc...
We examine new approaches to the problem of decoding general linear codes under the strategies of fu...
Several researchers have presented techniques for decoding linear block codes that convert the decod...
This dissertation deals with maximum-likelihood soft-decision decoding as well as suboptimal soft-de...
In principle, the coding gain of a digital communications system can be improved through the use of ...
A new decoding algorithm for some convolutional codes constructed from block codes is given. The alg...
The authors introduce a new simple encoding technique which allows the design of a wide variety of l...
Most decoding algorithms of linear codes, in general, are designed to correct or detect errors. Howe...
This paper presents two new iterative algorithms for decoding linear codes based on their tail bitin...
Abstruct- In this partially tutorial paper, we examine minimal trellis representations of linear blo...
[[abstract]]In this paper we present and describe an improved version of the Zero-Neighbors algorith...
Several researchers have presented techniques for decoding linear block codes that convert the decod...
AbstractWe examine new approaches to the problem of decoding general linear codes under the strategi...
Includes bibliographical references (p. 39)Linear block codes are used in modern communication and d...
We suggest a decoding algorithm of q-ary linear codes, which we call supercode decoding. It ensures ...
We propose a simple optimal a posteriori probability (APP) symbol decoding algorithm for linear bloc...
We examine new approaches to the problem of decoding general linear codes under the strategies of fu...
Several researchers have presented techniques for decoding linear block codes that convert the decod...
This dissertation deals with maximum-likelihood soft-decision decoding as well as suboptimal soft-de...
In principle, the coding gain of a digital communications system can be improved through the use of ...
A new decoding algorithm for some convolutional codes constructed from block codes is given. The alg...
The authors introduce a new simple encoding technique which allows the design of a wide variety of l...
Most decoding algorithms of linear codes, in general, are designed to correct or detect errors. Howe...
This paper presents two new iterative algorithms for decoding linear codes based on their tail bitin...
Abstruct- In this partially tutorial paper, we examine minimal trellis representations of linear blo...