Reduced lists of error patterns for maximum likelihood soft decoding
Jakov Snyders · IEEE Transactions on Information Theory · 1991
A method whereby a substantially reduced family of error patterns, called survivors, may be created for maximum likelihood soft decoding is introduced. The family of survivor depends on the received word. A decoder based on this approach first forms the survivors, then scores them. Rather than obtaining the survivors by online elimination of error patterns, the use of predetermined lists that represent all families of survivors is proposed.>