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 9
AutoSec-RAN: Specification-Grounded LLM Fine-Tuning for Automated Security Analysis of O-RAN
This paper presents AutoSec-RAN, a specification-grounded large language model (LLM) framework for automated security triage of Open Radio Access Network (O-RAN) testing.Distinguishing Process Change, Instrument Fault and Data-Path Corruption in Streaming Telemetry: A Reference Implementation and Benchmark
A reading departs from what a monitoring system expects for one of three reasons: the physical process changed, the instrument is failing, or the value was corrupted between the instrument and the…Global Optimality of Pose Graph Optimization
Pose Graph Optimization (PGO) is a classical and widely applied problem in state estimation for robotics, playing a fundamental role in localization, mapping, and navigation.Towards Privacy-Preserving Thermal Human Perception from Dataset to Deployment
Indoor human perception is the foundation for smart homes and healthcare.UAV-Mounted Hybrid RIS-Assisted ISAC-RSMA: Performance Analysis with Imperfect CSI and SIC
In integrated sensing and communication (ISAC) systems, strict sensing requirements can substantially constrain the transmit power available for communication.Inverse Synthesis of Shock Time Series from Shock Response Spectra Using Ensembles of Conditional Variational Autoencoders
The shock response spectrum (SRS) characterizes the peak responses of single-degree-of-freedom systems to transient acceleration.Lightweight Time-Frequency Vibration Sensing for Consumer Device Condition Monitoring
Consumer rotating devices, including washing machines, air conditioners, electric fans, robotic vacuum cleaners, and home fitness equipment, increasingly rely on vibration sensing for intelligent…Stochastic Finite-Transition Learning and Exploration for Accelerated MRI Reconstruction
Generative MRI reconstruction maps an initial source distribution to the target image distribution along a learned recovery trajectory.JEPA-kMMVAE: CSI Prediction for Time-Varying Wireless Channels
This paper considers channel state information (CSI) prediction using neural networks for time-varying multi-antenna channels from noisy historical observations.ECGWmark: Deep Watermarking for Electrocardiogram Signals
Secure transmission of electrocardiogram (ECG) signals remains a major challenge in telecardiology.One Thing Leads to Another: The Essentials of Time Series Causal Discovery
Time series causal discovery --- the process of detecting causation between time series --- has its roots in signal processing research from over a half century ago.CNN-Transformer with Sigmoid Label for High-Resolution Sub-Degree DOA Estimation
This paper addresses the grid quantization error of deep-learning (DL)-based direction-of-arrival (DOA) estimation.OpenPA: Forced-alignment-free Multi-granular Pronunciation Assessment with Mixed-transcript Adaptation
Recent advances in automatic pronunciation assessment (APA) have driven a shift from scripted to free-form assessment.Semantic Edge-Cloud Communication for Real-Time Urban Traffic Digital Twins
Urban traffic systems are becoming increasingly complex, demanding real-time traffic perception, proactive collision prediction, and intelligent management to improve safety and reduce congestion.An Embodied Multiagent Framework Based on Token Communications for Cooperative ISAC
The emerging low-altitude economy demands unmanned aerial vehicle (UAV)-enabled integrated sensing and communication (ISAC) for reliable connectivity and environmental awareness.Self-Supervised Speech Representations for Cross-Speaker Dysarthria Detection During Awake Craniotomy
Detecting intra-operative speech impairment during awake craniotomy is essential for preserving language function.Differentiable Systematic Resampling for Variational Sequential Monte Carlo
Particle filters are a standard tool for nonlinear state estimation, but their resampling step is discrete, preventing gradient-based learning in variational sequential Monte Carlo.Instruction-Conditioned Electromagnetic Spectrum Understanding via Budget-Adaptive Signal Tokenization
Electromagnetic spectrum monitoring increasingly requires flexible analysis beyond task-specific recognition and detection.Expert-level detection of low-voltage intervals in EEG as a robust biomarker of neonatal encephalopathy
Discontinuity in neonatal EEG is a critical marker of brain dysfunction but can be difficult to quantify visually.Two-Stage Multi-modal Learning for Dynamic Audio-Visual Navigation: From Physical Alignment to Scene Aggregation
Embodied Audio-Visual Navigation (AVN) requires an agent to locate sound targets by jointly leveraging visual and auditory cues.