3 papers
cs.IT2026
Revisiting Shannon's Source Coding Theorem with Distributional Uncertainty under the Nonlinear Expectation Theory
Wen-Xuan Lang, Shaoshi Yang, Jianhua Zhang +1
In classical information theory, a source is modeled by a single, precisely known probability distribution. However, in the increasingly complex communication networks full of unan…
cs.IT2026
Nonlinear Information Theory: Characterizing Distributional Uncertainty in Communication Models with Sublinear Expectation
Wen-Xuan Lang, Shaoshi Yang, Jianhua Zhang +1
A mathematical framework for information-theoretic analysis is established, with a new viewpoint of describing transmitted messages and communication channels by the nonlinear expe…
cs.IT2026
Theoretical Analyses of Detectors for Additive Noise Channels with Mean-Variance Uncertainty under Nonlinear Expectation Theory
Wen-Xuan Lang, Guiying Yan, Zhi-Ming Ma
In classical information theory, both the form and performance of the optimal detector for additive noise channels can be precisely derived, based on the assumption that the channe…