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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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Sparse Digital Cancellation of Receiver Nonlinear Distortion in Carrier Aggregation Systems
Ahmad Gomaa, Charles Chien, Ming Lei, ChihYuan Lin, Chun-Ying Ma · 2017-08-19 · via cs.IT updates on arXiv.org

In carrier-aggregation systems, digital baseband cancelation of self-interference generated by receiver nonlinearity requires the estimation of several reference signals contributions. As the nonlinearity order and frequency selectivity of the chip response increase, the number of reference signals significantly increases rendering the estimation of their contributions more complex. We propose a sparsity-based approach for the selection of the reference signals to match the distortion interference using a few reference signals. Simulation results show significant performance improvement over prior art with the same complexity.

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