eess.SP · 2026-08-06 · No. 76

Signal Processing, 2026-08-06.

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

    The Neural Echo: A Signal Processing Perspective for Understanding Neural Networks

    Chongbiao Wang, Daniel Gaa, Joachim Weickert, Karl Schrader

    eess.SP · cs.LG

    We introduce the neural echo as a tool for understanding the behavior of neural networks. It generalizes the model-based concepts of impulse responses, diffusion echoes, and filter echoes to learning-based methods. It provides local, space-adaptive impulse responses and filter kernels for a neural network, its so-called echoes. These echoes depend on the input image and can be visualized to understand the learned dynamics of the network via...

    arxiv.org/abs/2608.04864 · PDF

  2. 02

    GPU-Resident CUDA Acceleration for OCUDU 5G PHY and O-RAN Fronthaul: Architecture and Preliminary Performance

    Matthew Pennybacker, Wan Liu, Andriy Kharchenko, Timothy OShea

    eess.SP · cs.DC · cs.NI

    This paper describes DeepSig's CUDA-based acceleration backend for the OCUDU physical layer and O-RAN fronthaul path, integrated through acceleration interfaces that are largely independent of the underlying acceleration mechanism. The design accelerates PDSCH, PUSCH, SRS, PRACH, split-8 lower-PHY transforms, and O-RAN fronthaul (O-FH) IQ compression/decompression while preserving existing factories, resource-grid interfaces, PRACH-buffer...

    arxiv.org/abs/2608.04338 · PDF

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