An Improved Viterbi Algorithm for a Class of Optimal Binary Convolutional Codes
Zita Abreu, University of Aveiro, Portugal; Julia Lieb, TU Ilmenau, Germany; Michael Schaller, University of Zurich, Switzerland
Session:
Convolutional and Streaming Codes 2
Track:
2: Modern Coding Theory
Location:
Omega
Presentation Time:
Wed, 10 Jul, 11:50 - 12:10
Session Chair:
Wenhui Sui, UCLA
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.