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Theoretical Limits of Language Model Alignment $f$-Divergence Regularized RLHF: Two Tales of Sampling and Unified Analyses A Unified Measure-Theoretic View of Diffusion, Score-Based, and Flow Matching Generative Models When Can Voting Help, Hurt, or Change Course? 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Upper Bound on the Capacity of Discrete-Time Wiener Phase Noise Channels
Luca Barletta, Gerhard Kramer · 2014-11-03 · via cs.IT updates on arXiv.org

A discrete-time Wiener phase noise channel with an integrate-and-dump multi-sample receiver is studied. An upper bound to the capacity with an average input power constraint is derived, and a high signal-to-noise ratio (SNR) analysis is performed. If the oversampling factor grows as $\text{SNR}^α$ for $0\le α\le 1$, then the capacity pre-log is at most $(1+α)/2$ at high SNR.

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