background
logo
ArxivPaperAI

An Improved Viterbi Algorithm for a Class of Optimal Binary Convolutional Codes

Author:
Zita Abreu, Julia Lieb, Michael Schaller
Keyword:
Computer Science, Information Theory, Information Theory (cs.IT)
journal:
--
date:
2024-02-02 00:00:00
Abstract
The most famous error-decoding algorithm for convolutional codes is the Viterbi algorithm. In this paper, we present a new reduced complexity version of this algorithm which can be applied to a class of binary convolutional codes with optimum column distances called k-partial simplex convolutional codes.
PDF: An Improved Viterbi Algorithm for a Class of Optimal Binary Convolutional Codes.pdf
Empowered by ChatGPT