Hang-Yip Liu, Steffen Schulze, et al.
Proceedings of SPIE - The International Society for Optical Engineering
Paper
Optimal Decoding of Linear Codes for Minimizing Symbol Error Rate
Abstract
The general problem of estimating the a posteriori probabilities of the states and transitions of a Markov source observed through a discrete memoryless channel is considered. The decoding of linear block and convolutional codes to minimize symbol error probability is shown to be a special case of this problem. An optimal decoding algorithm is derived. © 1974, IEEE. All rights reserved.
Related
Paper
The Qx-coder
M.J. Slattery, Joan L. Mitchell
IBM J. Res. Dev
Raymond F. Boyce, Donald D. Chamberlin, et al.
CACM
Robert C. Durbeck
IEEE TACON