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 15
Unlocking Cross-Scenario Physical Layer Security: A Mixture-of-Experts Framework with Generative Diffusion Models
The future 6G networks are expected to incorporate a proliferation of wireless services in diverse environments, which presents a significant challenge for information security.Untangling the Geometry and Speed for RF Sensing Spectrograms
A fundamental challenge in RF sensing is that Doppler signatures observed by a link entangle the target's motion with the sensing geometry, resulting in limited applicability to unconstrained…Resource-Efficient Distributed Recursive Gaussian Processes
Gaussian processes (GPs) provide a flexible framework for learning unknown functions from noisy measurements while quantifying predictive uncertainty, making them well suited for estimation in…Online Learning-Based Adaptive Hybrid Benders Decomposition for Risk-Averse Optimal Sizing
Optimal sizing problem (OSP) for battery energy storage system (BESS) under uncertain inputs is often formulated as a two-stage stochastic program (2SP), which typically introduces computational and…XSQ-AST: An Explainable Audio Spectrogram Transformer Framework for Localising Synthetic Speech Artifacts
Localising artifacts in synthetic speech remains challenging, as most evaluation methods yield only global quality scores.G-NAC: Graph Neural Automata Clustering via Emergent Domain Formation
We introduce Graph Neural Automata Clustering (G-NAC), an unsupervised clustering method in which observations interact as cells on a fixed neighborhood graph.Assessment of the N-1 voltage security of a future Nordic energy system
Capacity Expansion - Energy System Models (CE-ESMs) have been widely used to optimize the decarbonization of future energy systems on national and continental scales.Vision-Wireless Fusion for Multi-User Localization: A Cross-Modal Transformer Approach
Accurate multi-user localization is challenging in complex urban environments, where wireless measurements can become ambiguous under noise, blockage, and multipath, while visual observations…Fast Graph Laplacian Estimation using Effective Resistance
Inferring network topology from noisy node observations is a central problem in graph signal processing.A discrete generative model of neuronal spiking activity on microelectrode arrays
Generative models of neural activity could help characterize tissue dynamics, compare experimental conditions, and simulate population activity for applications ranging from disease and…Subspace Learning with Interval-Censored Likelihoods for Dequantizing Percept PC LFP Snapshots
Implanted neurostimulators that sense local field potentials now enable chronic electrophysiology based biomarker tracking in patients at home.ParA-LLM: A Unified Approach to Paralinguistic and Acoustic Speech Understanding
Recent advances in Audio LLMs have achieved human-level speech recognition, yet existing systems struggle to capture paralinguistic aspects such as speaker traits, expressive variations, and…DVA-Neurons: Design and Verification of Adaptive LIF Neurons: From Single-Neuron Dynamics to Multi-Neuron Spiking Networks
Spiking Neural Networks (SNNs) offer a promising path toward ultra-low-power artificial intelligence inference by emulating the event-driven computation of biological neurons.Intelligent Degradation Monitoring in Lithium-ion Batteries via Discharge Incremental Capacity Feature Estimation
Accurate and timely detection of degradation in lithium-ion batteries is crucial to ensure safety, reliability, and longevity in high-demand applications such as electric vehicles and energy storage…AirGC-CD: Gaussian-Circulant Precoding for Exactly Debiasable PAPR Reduction in Over-the-Air Federated Learning
Over-the-air federated learning lets edge devices transmit their local updates simultaneously, reducing the communication overhead.Ask for Any Appliance: A Prompt-Programmable Foundation Model for Non-Intrusive Load Monitoring
Non-intrusive load monitoring (NILM) estimates appliance-level consumption from a whole-home meter, but appliance-specific models and fixed output inventories make coverage costly to extend.Causal Inference with Unobserved Confounding: A Mixture Learning Perspective
Unobserved confounding is a fundamental challenge in causal inference from observational data.Sparse Identification for Automatic Large-Scale Screening: A Constraint-Aware Framework with Ultra Fast Decoding Algorithm
In the early stages of a pandemic, identification of a small number of infected individuals through large-scale screening is critical for pandemic control, yet remains challenging under limited…Co-Evolving Zero-Day Jamming: Adaptive Attack Synthesis and Graph Attention-Based Online Detection
Effective evaluation of zero-day jamming detectors requires robust adversarial models.Predictive Suppression Layers for Communication-Efficient Spiking Neural Networks
Feedforward Spiking Neural Networks (SNNs) typically propagate every generated spike indiscriminately, disregarding whether the information is redundant from an information-theoretic perspective.