An Improved Viterbi Algorithm for a Class of Optimal Binary Convolutional Codes
arXiv:2402.01279
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.
accepted for ISIT 2024