A general formula for channel capacity

DOI10.1109/18.335960zbMath0819.94016OpenAlexW2020347709MaRDI QIDQ4324176

Sergio Verdú, T. S. Han

Publication date: 1 March 1995

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/18.335960

zbMATH Keywords

error probabilitychannel capacityShannon theorystrong conversechannel coding theoremchannels with memory\(m\)-ary hypothesis tests

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Channel models (including quantum) in information and communication theory (94A40) Coding theorems (Shannon theory) (94A24)

Related Items (8)

Efficient information transfer by Poisson neurons ⋮ Universal coding for classical-quantum channel ⋮ Asymptotic convertibility of entanglement: An information-spectrum approach to entanglement concentration and dilution ⋮ Second-order asymptotics for quantum hypothesis testing ⋮ Distributions and channel capacities in generalized statistical mechanics ⋮ Second-order converses via reverse hypercontractivity ⋮ Design of Information Channels for Optimization and Stabilization in Networked Control ⋮ Common Information, Noise Stability, and Their Extensions

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