This article surveys many variants of sequential decoding in literature. Rather than introducing them chronologically, this article first presents the Algorithm A, a general sequential search algorithm. The stack algorithm and the Fano algorithm are then described in details. Next, trellis variants of se-quential decoding, including the recently proposed maximum-likelihood sequential decoding algorithm, are discussed. Additionally, decoding complexity and error performance of sequential decoding are investigated, followed by a discussion on the implementation of sequential decoding from various prac-tical aspects. Moreover, classes of convolutional codes that are particularly appropriate for sequential decoding are outlined
Convolutional codes belongs to among linear tree codes. There are codes used for channel coding. At ...
This paper presents new computationally efficient and accurate techniques for estimating the perform...
The maximum-likelihood decoding of convolutional codes has generally been considered impractical for...
[[abstract]]In this letter, we present a trellis-based maximum-likelihood soft-decision sequential d...
[[abstract]]In this letter, we present a trellis-based maximum-likelihood soft-decision sequential d...
Sequential decoding is characterized as a sequential search for the shortest path through a trellis....
Sequential sequence estimation for communications channels with convolutionally coded input sequence...
Sequential decoding can achieve a very low computational complexity and short decoding delay when th...
Sequential decoding is a decoding algorithm for tree codes originally developed for single-user chan...
The introduction of the concept of sequential decoding by Wozencraft has opened up the possibility o...
Sequential decoding, commonly applied to substitution channels, is a sub-optimal alternative to Vite...
Convolutional codes are characterized by a trellis structure. Maximum-likelihood decoding is charact...
The work of this group is focused on the dual problems of ascertaining the best per-formance that ca...
It is shown how the decoding algorithms of Pellikaan and Rosenthal can be coupled to produce a decod...
We propose new decoding algorithms to be embedded in the iterative decoding strategy of parallel con...
Convolutional codes belongs to among linear tree codes. There are codes used for channel coding. At ...
This paper presents new computationally efficient and accurate techniques for estimating the perform...
The maximum-likelihood decoding of convolutional codes has generally been considered impractical for...
[[abstract]]In this letter, we present a trellis-based maximum-likelihood soft-decision sequential d...
[[abstract]]In this letter, we present a trellis-based maximum-likelihood soft-decision sequential d...
Sequential decoding is characterized as a sequential search for the shortest path through a trellis....
Sequential sequence estimation for communications channels with convolutionally coded input sequence...
Sequential decoding can achieve a very low computational complexity and short decoding delay when th...
Sequential decoding is a decoding algorithm for tree codes originally developed for single-user chan...
The introduction of the concept of sequential decoding by Wozencraft has opened up the possibility o...
Sequential decoding, commonly applied to substitution channels, is a sub-optimal alternative to Vite...
Convolutional codes are characterized by a trellis structure. Maximum-likelihood decoding is charact...
The work of this group is focused on the dual problems of ascertaining the best per-formance that ca...
It is shown how the decoding algorithms of Pellikaan and Rosenthal can be coupled to produce a decod...
We propose new decoding algorithms to be embedded in the iterative decoding strategy of parallel con...
Convolutional codes belongs to among linear tree codes. There are codes used for channel coding. At ...
This paper presents new computationally efficient and accurate techniques for estimating the perform...
The maximum-likelihood decoding of convolutional codes has generally been considered impractical for...