New schedules for information processing in turbo decoding

The framework of Bayesian networks has been used to introduce new ways for decoding parallel concatenated convolutional (turbo) codes. Simulation results show that a noisy received block which does not converge using traditional turbo decoding can converge to the correct value with one or more of the methods introduced here.