Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The large-inputs asymptotic capacity of a peak-por and average-por limited discrete-time Poisson channel is derived using a new firm (nonasymptotic) lor bound and an asymptotic upper bound. The upper bound is based on the dual expression for channel capacity and the notion of capacity-achieving input distributions that escape to infinity. The lor bound is based on a lor bound on the entropy of a conditionally Poisson random variable in terms of the differential entropy of its conditional mean.
['Amos Lapidoth', 'Stefan M. Moser']
I am writing a research paper on a idea On the Capacity of the Discrete-Time Poisson Channel
[{"from": "human", "value": "I am writing a research paper on a idea On the Capacity of the Discrete-Time Poisson Channel"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The large-inputs asymptotic capacity of a peak-por and average-por limited discrete-time Poisson channel is derived using a new firm (nonasymptotic) lor bound and an asymptotic upper bound. The upper bound is based on the dual expression for channel capacity and the notion of capacity-achieving input distributions that escape to infinity. The lor bound is based on a lor bound on the entropy of a conditionally Poisson random variable in terms of the differential entropy of its conditional mean."}]