Engineering & Signals · Interdisciplinary & Society
Signal Processing
The newest papers in Signal Processing that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
429 papers, from 31 August 2026 to 5 November 2026: 360 arXiv preprints and 69 OpenAlex records.
Get the few papers worth your time in Signal Processing every morning.
Follow Signal Processing and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 19
Distributed Physical Layer Authentication and Collaborative RSMA in Non-Terrestrial Networks via Graph Reinforcement Learning
Existing physical-layer authentication (PLA) schemes for non-terrestrial networks (NTNs) often rely on single-anchor verification, lack joint authentication-transmission design, and ignore tag…Adaptive Distributed Physical-Layer Authentication and Attack Detection in 6G Non-Terrestrial Networks via Causal Meta-Learning
Physical-layer authentication (PLA) in non-terrestrial networks (NTNs) is challenged by severe Doppler shifts, long delays, and fast channel variations, which cause distribution shifts and degrade…EEG-Driven Decoding Framework for Passenger Hazard Perception in Highly Automated Vehicles
Reliable risk assessment remains a central challenge for Autonomous Vehicles (AVs).Masking Radar Cognition under Adversarial Surveillance: A Distributional Privacy Framework
In this article, we propose an online electronic counter-countermeasure (ECCM) framework designed to conceal the strategic decision-making processes of a cognitive radar (CR) operating under…Sub-6 GHz Over-the-Air AMC via Curriculum Fine-Tuned CNN-Transformers
Automatic modulation classification (AMC) models are frequently trained and validated on synthetic or channel-cabled data, leaving open the question of how they behave once path loss and antenna…Pre-Whitening and BCJR Posterior Distillation for Bi-LSTM Detection in Faster-than-Nyquist Signaling
Recurrent detectors such as bidirectional long short-term memory (Bi-LSTM) networks are low-complexity alternatives to the optimal Bahl-Cocke-Jelinek-Raviv (BCJR) detector for faster-than-Nyquist…The OCUDU dApp Platform: An Open Runtime and E3 Interface for Real-Time AI-RAN
Machine learning has shown its largest gains in the band below 10 ms inside a 3GPP new radio (NR) 5G distributed unit (DU): link adaptation, per-slot scheduling, channel estimation, and the receiver…ComVLA: Communication-Aware Split Inference for VLA Models in 6G-Connected Robotics
Connected robotics is an emerging 6G application where mobile robots follow natural-language instructions to manipulate physical objects.Model-Adaptive and Risk-Constrained Frequency Hopping Against Predictive Jammers
Adaptive frequency hopping against predictive jamming must address both model uncertainty and policy exposure: the context-loss relationship may vary across operating regimes, while persistent…Tri-Hybrid Beamforming Design for DMA-Aided Secure ISAC Systems
This paper proposes a tri-hybrid beamforming scheme for secure integrated sensing and communication (ISAC) with a dynamic metasurface antenna (DMA) architecture, where the base station (BS) is…SLA-Safe Energy Control for AI-Native NG-RAN Using Stability-Aware Constrained PPO
One important AI-for-RAN use case is energy saving, in which radio resources and cell energy modes must be dynamically controlled without violating user quality-of-service (QoS) or service-level…Confounding-Valid Conformal Inference for Counterfactual KPIs in Wireless Networks
Conformal counterfactual inference enables network operators to use logged telemetry to reliably answer 'what-if' questions about network operation.A complete characterization of sequential testability and change detectability in i.i.d. models
We give a necessary and sufficient condition for the existence of power-one sequential tests in an i.i.d. composite testing problem.TreeFI: Value-Aware Statistical Fault Injection for Deep Neural Networks
Reliability evaluation of deep neural networks under hardware faults commonly relies on fault injection, but exhaustive campaigns are intractable for modern models and datasets.Demonstration of room-temperature, magnetic-field-free, and ultralow-power spin-orbit torque logic device based on composition-uniform van der Waals magnet Fe3GaTe2
Van der Waals magnets have received blooming interest in material science and spintronics for the advantages of low magnetization, flexible stacking, strong tunability, and dangling-bond-free…Network Availability Enhancement in Low-Altitude HetNets: A Cross-Layer Design Perspective
This paper proposes a computing-communication resource interchange method to enhance network availability (NA) in low-altitude heterogeneous networks (LA-HetNets).A Hybrid Simulation Code for Hall Thrusters and its Sensitivity to Numerical Parameters
Hybrid methods offer an attractive balance between computational efficiency and physical accuracy, playing an important guiding role in the design and optimization of Hall thrusters.Thermal history controls the optoelectronic response of lead halide perovskites through structure and dynamics
Lead halide perovskites are promising optoelectronic materials for photovoltaics, light emission and detection.Toward Security-Resilient Cell-Free Massive MIMO: A Multi-Stage Framework
This paper develops a robust security-resilient transmission framework for cell-free massive multiple-input multiple-output (CF-mMIMO) systems under active pilot spoofing attacks.Lightweight CFR-Based Modulation Adaptation in a Real-Time MIMO-OFDM SDR Testbed
Conventional link adaptation typically relies on scalar link-quality indicators such as signal-to-noise ratio (SNR), while richer channel state information (CSI) can improve adaptation at the cost…