Heinz Koeppl, Marc Hafner, et al.
BMC Bioinformatics
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.
Heinz Koeppl, Marc Hafner, et al.
BMC Bioinformatics
Pradip Bose
VTS 1998
Anupam Gupta, Viswanath Nagarajan, et al.
Operations Research
John M. Boyer, Charles F. Wiecha
DocEng 2009