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.
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Newest papers, page 5
Forward-Backward Map Matching for Airborne Magnetic Anomaly Navigation
Airborne magnetic anomaly navigation provides a passive, unjammable alternative to Global Navigation Satellite Systems positioning by matching magnetometer measurements against a lithospheric…Progressive-Observation Physical-Layer Fingerprinting for Efficient Open-Set Ethernet Authentication
Physical-layer fingerprinting (PLF) has emerged as a promising authentication approach for Internet of Things devices.Doppler-Shannon Association in Vehicular Networks: A Stochastic Geometry Analysis
Historically, in cellular networks, the user equipment (UE) association with a base station (BS) has been largely confined to nearest BS association strategies.Movable-Element Multi-Functional RIS-Assisted Hybrid RSMA-NOMA: A Constrained Hybrid Reinforcement Learning Approach
In this work, we propose a movable-element (ME) multi-functional reconfigurable intelligent surface (MF-RIS) architecture, termed MM-RIS, which integrates element mobility with adaptive signal…AgriDefend: A $205 Offline Edge Device that Detects Crop Stress Before Visible Symptoms via Multimodal AI Fusion
Most in-field crop-monitoring devices sense a single modality -- either a camera looking at the canopy or a probe reading the soil -- and so cannot detect stress that begins below ground before it…NOMAD-EEG: Native Omni-Montage Adaptive Diffusion
Electroencephalography (EEG) montages, channel counts and recording lengths vary widely, but most EEG foundation models are bound to the channel set and input length they were trained on.XL MIMO Extreme Learning Machines: Wave-Domain Inference with Stacked Metasurfaces
The recently envisioned goal-oriented communications paradigm requires machine learning inference to be performed directly on wirelessly transferred data, by splitting neural network computations…High-resolution tactile observation makes hidden racket-control mechanisms learnable
Experts can master fine hand-object manipulation skills, yet limited conscious perception of rapid tactile interactions hinders their ability to articulate the underlying control mechanisms.Information-Theoretic Secure Aggregation With Heterogeneous Client Quantization
In federated learning (FL), secure aggregation enables a server to compute the sum of local model updates of $N$ clients, without revealing any information on the individual model updates to the…ORBITAL: Optimization of Robust Brain--Computer Inference Through Architecture-Aware Low-Precision Compression
Compact electroencephalography (EEG) decoders enable embedded brain--computer interfaces (BCIs), but compression can alter adversarial robustness without proportional hardware savings.Cross-User Adaptation for sEMG Gesture Recognition via Continual Learning
Prosthetic and assistive interfaces increasingly depend on decoding hand gestures from surface electromyography (sEMG).End-to-End Neural Modeling of EM Response and Design Performance for Free-Form RFIC Passives
Passive matching networks are critical components in radio-frequency integrated circuits (RFICs), but their design is bottlenecked by expensive finite-difference-based electromagnetic (EM) simulation.Multi-view Semantic-aware Resource Allocation for Edge AI
Semantic communication is emerging as a pivotal paradigm to overcome wireless resource scarcity in 6G networks.Distributed LLM Inference via Communication-Efficient Speculative Decoding
Distributed speculative decoding has emerged as a promising approach for device--server collaborative large language model (LLM) inference, but its decoding speedup is often limited by the…Exponential Wake-Up Overshoot in Explicit Gaussian Point-Process Filters
When events resume after a long silence, explicit Gaussian point-process filters amplify the first update exponentially in the silence duration.Joint End-to-End Training of Weighted BP Decoder Ensembles
Ensemble decoding improves decoding reliability by combining component decoders with complementary failure events.Incremental-Smoothing-Based ARAIM Protection Levels for Tightly Coupled GNSS/IMU Integration in Urban Canyons
Protection levels (PLs) bound position errors under specified fault hypotheses and risk budgets, but advanced receiver autonomous integrity monitoring (ARAIM) is formulated for snapshot GNSS…Beyond Channel Data: Configuration-Enriched Radio Foundation Models
This paper proposes incorporating channel configuration (CFG) information into Radio Foundation Model (RFM) pre-training and demonstrates that the resulting CFG-enriched embeddings serve as…EMG Tokenization Preserves Movement Information at a Fraction of the Bitrate
Wireless electromyography (EMG) interfaces must balance electrode coverage against transmission bandwidth.Clean-label Poisoning Attack and Defense Game for Federated Learning in Vehicular Networks
This paper studies interactions between clean-label poisoning attack and defense in vehicular networks using federated learning (FL).