Clay weekly context brief for the Systems category (ISO week 2026-W28). Clay tracks publications from the Systems feed list. Below are recent items from this category, each with its source and a short description of what the publication covers when one is available in the source feed. Recent publications: 1. Deep Learning for Joint Narrowband Interference Cancellation and Soft Demodulation in OFDM Systems Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2607.08717 Narrowband interference (NBI) severely degrades orthogonal frequency-division multiplexing (OFDM) systems by corrupting subcarriers and rendering classical soft demodulation ineffective. 2. Diagnosing Shape-Prior Shortcuts in Long-Range Single-Shot Fringe Projection Profilometry Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2606.17093 Learning-based single-shot fringe projection profilometry (FPP) has been studied almost entirely at close range, and the networks used are evaluated only on aggregate error, leaving open whether they recover depth from fringe phase or from object-level shape cues that correlate with depth. 3. Inverse-designed meta processing units for multi-task near-field photonic computing Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2607.08360 Integrated photonic neural networks require optical operators that are simultaneously compact, matrix-general and compatible with task-level reconfigurability. 4. MSRNet: A Multi-Scale Recursive Network for Camouflaged Object Detection Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2511.12810 Camouflaged object detection is an emerging and challenging computer vision task that requires identifying and segmenting objects that blend seamlessly into their environments due to high similarity in color, texture, and size. 5. Multiuser Zak-OTFS on the Uplink with Superimposed Spread-Pilots Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2607.08247 In this paper, we consider the uplink of a multiuser Zak-OTFS system comprising users with heterogeneous delay-Doppler (DD) periods/frame sizes. 6. Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2407.13632 Deploying deep learning-based imaging tools across various clinical sites poses significant challenges due to inherent domain shifts and regulatory hurdles associated with site-specific fine-tuning. 7. Generalization Theory for Through-the-Wall Radar Human Activity Recognition Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2607.08144 Through-the-wall radar (TWR) human activity recognition (HAR) is important for non-line-of-sight indoor sensing, security monitoring, and emergency rescue. 8. Data-Driven Registration and Modeling of Brain Deformation for Image-Guided Neurosurgery: A Systematic Review Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2602.10155 Accurate compensation of brain deformation is critical for reliable image-guided neurosurgery. 9. Cross-Modal Generative Framework for Signal Translation from Fetal-Maternal Electrocardiograms to Fetal Doppler Waveforms Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2607.08073 Fetal electrocardiogram (fECG) and Doppler ultrasound provide complementary views of fetal cardiovascular function: fECG captures electrical activity while Doppler reflects mechanical hemodynamics shaped by factors such as placental resistance and vascular compliance. 10. Transformed $\ell_1$ Gradient Regularization for Image Denoising Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2511.15060 Total variation (TV) regularization is a classical edge-preserving technique widely used across image recovery and reconstruction problems; however, its convex $\ell_1$ gradient penalty tends to over-shrink large gradients, producing staircase artifacts and contrast loss. 11. RadioDiff-v2: Generative Angular Radio Maps for Multi-Beam Selection and Localization Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2607.08045 Angular radio maps describe the received-power distribution over the angle of arrival and underpin beam selection and receiver localization in sixth-generation (6G) networks. 12. Asynchronous Federated Continual Segmentation with Evolving Clients and Label Spaces Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2503.15414 Federated learning seeks to foster collaboration among distributed clients while preserving the privacy of their local data. 13. Parasitic MIMO Beamforming for Multi-Active Multi-Parasitic Antenna Arrays with Binary Control Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2607.08624 In 6G, MIMO dimensions continue to scale, yet the increased cost, power consumption, and hardware complexity associated with growing RF chains limit practical deployment. 14. Classical versus Deep Mirror-Symmetry Scoring: A Benchmark of Thirteen Methods Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2607.08379 Quantifying how mirror-symmetric an image is about a given axis (symmetry scoring) underpins applications from visual aesthetics to medical imaging, yet proposed scoring methods have never been compared on a common, statistically grounded protocol. 15. Adaptive Wavelet Division Multiplexing for Heterogeneous Mobility Users Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2607.08611 This paper proposes an adaptive wavelet division multiplexing scheme for wireless systems serving users with heterogeneous mobility profiles over frequency-selective Rayleigh fading channels. 16. AI-Driven Thermal Mapping and Management in 3D Integrated Photonic Circuits Source: eess.IV (Image and Video Processing) Link: https://arxiv.org/abs/2607.07711 Photonic Integrated Circuits (PICs) are advancing high-performance computing, data centers, and sensing, yet three-dimensional (3D) PICs introduce critical thermal management challenges due to high-density bonding and heterogeneous materials. 17. RSMA-Assisted OFDM-OTFS Hybrid Framework for Mixed-Mobility Multiuser Systems Source: eess.SP (Signal Processing) Link: https://arxiv.org/abs/2607.08532 In future 6G vehicular networks, users employing orthogonal frequency division multiplexing (OFDM) and orthogonal time frequency space (OTFS) waveforms may coexist under diverse mobility conditions, where both can experience high-mobility and low-mobility profiles. Sources in this brief: eess.IV (Image and Video Processing); eess.SP (Signal Processing). Selected 17 of 33 available items for this weekly brief.