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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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Bound on Peak-to-Average Power Ratio with Moment and Reduction Method
Hirofumi Tsuda · 2019-09-10 · via cs.IT updates on arXiv.org

In this paper, we show bounds on Peak-to-Average Power Ratio (PAPR) and propose a method to reduce PAPR. These bounds are written in terms of moments of transmitted symbols. Further, we show some bounds in special cases and these special bounds include a practical case. From the practical bound, a method to reduce PAPR is derived. Our method is an extension of existing methods, a Partial Transmit Sequence (PTS) technique and a Selective Mapping (SLM) technique. Finally, we numerically verify performance of our method and discuss some conditions for our method.

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