eess.SP · 2026-06-18 · No. 27

Signal Processing, 2026-06-18.

2 new papers in eess.SP. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    Structure Over Nonlinearity: Explicit Interaction Architectures for Dynamical Learning

    Augusto Sarti

    eess.SP · cs.LG

    Most learning architectures for dynamical systems rely on generic nonlinear function approximation, often requiring high model complexity to capture structured behaviors. In this work, we propose an alternative paradigm in which modeling capability arises primarily from structure rather than from expressive nonlinearities. We introduce a class of explicit structured dynamical units based on wave-inspired interaction structures with internal...

    arxiv.org/abs/2606.19101 · PDF

  2. 02

    Point-Cloud-Assistant Localized Statistical Channel Prediction by Tangent Gaussian Splatting

    Ye Xue, Yiheng Wang, Xinhua Shao, Qi Yan, Shutao Zhang, Tsung-Hui Chang

    eess.SP · cs.LG

    Accurate, site-specific channel information is crucial for optimizing next-generation wireless networks. Among various approaches, localized statistical channel modeling (LSCM), which models the channel multipath angular power spectrum (APS) from the reference signal received power (RSRP) measurement, has emerged as a state-of-the-art method tailored for efficient network optimization. However, despite its effectiveness, LSCM cannot predict...

    arxiv.org/abs/2606.18734 · PDF

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