Article ID Journal Published Year Pages File Type
4957644 Physical Communication 2017 19 Pages PDF
Abstract
Starting from the existing works on the computation of information rates of channels with memory, we present a modification of these methods that can be used for continuous-state space models. The principle used for developing this alternative method is based on the partitioning of the continuous-state space into sub-sets, each one representing a state of a trellis, and the association between the states and the probability density functions built and updated on such sub-sets. The paper discusses the cases in which the method provides a computational advantage and it presents numerical results regarding the relevant example of the Wiener phase noise model.
Related Topics
Physical Sciences and Engineering Computer Science Computer Networks and Communications
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