eess.SP · 2026-07-11 · No. 50

Signal Processing, 2026-07-11.

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

01 — The papers

3 entries
  1. 01

    DKDNet: Dual Knowledge and Data-Driven Network for Cross-Domain Automatic Modulation Classification

    Shuang Wang, Chenxu Wang, Hantong Xing, Hanlin Mo, Lirong Han, Licheng Jiao

    eess.SP · cs.AI

    The dynamics of communication environments induce significant distribution shifts across domains, challenging the generalization of deep learning-based automatic modulation classification (AMC) models. While existing UDA methods alleviate this problem by aligning source and target features, they give limited consideration to modulation-specific structures that remain informative across domain conditions. In this paper, we consider signal...

    arxiv.org/abs/2607.08031 · PDF

  2. 02

    Unit-Independent Low-Rate Wrist GSR Processing for Stress Detection Using Phasic nSCR Features

    Zequan Liang, Sally Hang, Geneva M. Jost, Ning Miao, Wei Shao, Mahdi Pirayesh Shirazi Nejad, Hossein Sayadi, Ehsan...

    eess.SP · cs.LG

    Galvanic skin response (GSR) is widely used for stress detection, but wrist-based GSR remains challenging because its absolute amplitude can differ substantially from laboratory-grade palmar measurements. In this paper, we propose a unit-independent low-rate wrist GSR processing pipeline to extract the number of skin conductance responses per minute (nSCR/min) as a stress-related feature. We collect paired wrist and palmar GSR recordings from...

    arxiv.org/abs/2607.08007 · PDF

  3. 03

    SpO$_2$ Predictor-Guided Stage-Wise Time-Frequency Reconstruction of Low-Quality Dual-Wavelength PPG for Oxygen Saturation Estimation

    Zequan Liang, Elahe Hosseini, Ning Miao, Mahdi Pirayesh Shirazi Nejad, Wei Shao, Ehsan Kourkchi, Setareh Rafatirad,...

    eess.SP · cs.AI · cs.LG

    Continuous oxygen saturation (SpO$_2$) estimation from wearable photoplethysmography (PPG) is important for long-term health monitoring, but low-quality red and infrared PPG segments can distort waveform morphology and degrade SpO$_2$ prediction accuracy. Existing PPG denoising and reconstruction methods usually optimize waveform fidelity or heart rate characteristics, while time-domain waveform loss on PPG signals alone insufficiently...

    arxiv.org/abs/2607.07996 · PDF

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