On the Binary Symmetric Channel with a Transition Probability Determined by a Poisson Distribution
AJ Vinck, F Rouissi - arXiv preprint arXiv:2307.06073, 2023 - arxiv.org
AJ Vinck, F Rouissi
arXiv preprint arXiv:2307.06073, 2023•arxiv.orgThe classical Binary Symmetric Channel has a fixed transition probability. We discuss the
Binary Symmetric Channel with a variable transition probability that depends on a Poisson
distribution. The error rate for this channel is determined and we also give bounds for the
channel capacity. We give a motivation for the model based on the Class-A impulse noise
model, as given by Middleton. The channel model can be extended to the Additive White
Gaussian Channel model, where the noise variance also depends on a Poisson distribution.
Binary Symmetric Channel with a variable transition probability that depends on a Poisson
distribution. The error rate for this channel is determined and we also give bounds for the
channel capacity. We give a motivation for the model based on the Class-A impulse noise
model, as given by Middleton. The channel model can be extended to the Additive White
Gaussian Channel model, where the noise variance also depends on a Poisson distribution.
The classical Binary Symmetric Channel has a fixed transition probability. We discuss the Binary Symmetric Channel with a variable transition probability that depends on a Poisson distribution. The error rate for this channel is determined and we also give bounds for the channel capacity. We give a motivation for the model based on the Class-A impulse noise model, as given by Middleton. The channel model can be extended to the Additive White Gaussian Channel model, where the noise variance also depends on a Poisson distribution.
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