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 4
Pinching Antennas for ISAC: Waveguide Architectures, Solutions, and Future Directions
Integrated sensing and communication (ISAC) is a core design principle for sixth-generation (6G) wireless systems, yet fixed antenna geometry limits its performance.Beamfocusing Beyond the Near Field: Frequency Diverse Arrays for OFDM-ISAC Systems
Traditional phased arrays (PAs) achieve near-field (NF) beamfocusing through spherical wavefront curvature, but lose this range selectivity in the far field (FF).Feasibility of Common-Stream-Only Sensing in ZF-RSMA with Imperfect CSIT
Reusing the Rate-Splitting Multiple Access (RSMA) common stream for sensing eliminates dedicated probing signals in Integrated Sensing and Communication (ISAC), but creates a feasibility bottleneck…Embodied Movable Antennas
This paper introduces embodied movable antennas (MAs), a new MA architecture that rethinks the source of antenna mobility.GazeRIB: Systematic Evaluation of Multi-Reader Gaze-Guided Chest X-ray Learning
Radiologists' visual attention can supervise medical image learning, but how reader panel composition affects its value remains untested.Confidence-Aware Speed-over-Ground Estimation from Doppler Spectra via Reconstruction-Based Representation Learning
Reliable speed-over-ground estimation from ground-facing Doppler spectra is essential for mobile platforms such as railway systems.Multistatic ISAC with Deep Learning-Based Clutter Suppression for 5G and Beyond
Integrated sensing and communications (ISAC) systems using 5G and beyond signals of opportunity enable joint wireless sensing and communication using shared infrastructure and spectrum resources.Bayesian Distribution System State Estimation with Flow Matching
Medium-voltage feeders have few real-time measurements, so distribution system state estimation (DSSE) rests on pseudo-measurements of the secondary substations, a prior in Bayesian terms.REVBRAIN: Real-time Probabilistic EEG Forecasting Using Residual Vector Quantization
Real-time forecasting of resting-state EEG signals is required by applications like brain-state-dependent stimulation, where computer generated actions are coupled with ongoing neural oscillations.Metropolized backward sampling for conditional sequential Monte Carlo
Particle Gibbs samplers with backward sampling are widely used for sampling the smoothing distribution of state-space models, but, with few particles, the new trajectory often coincides with the…MM-Net: A Multimodal Multi-Task Network for Sleep Staging and Sleep Apnea Assessment After Ischemic Stroke
Automated polysomnography after ischemic stroke is challenging because of altered sleep-related neural activity and concurrent respiratory disturbances.Normalized Cuts and Data Clustering via Matrix Fractional Programming
The normalized cut (NCut) problem is a fundamental one in the area of data clustering.Neuronal Identity as an Organizational Basis for Analyzing Neural Population Dynamics
Individual neurons exhibit diverse molecular, morphological, and electrophysiological properties that shape their distinct roles in neural circuits.RAG-CSI: Global Local Retrieval via Joint State and Dynamics Matching for CSI Prediction
Channel state information (CSI) prediction forecasts future channel states from historical observations, supporting transceiver design and resource allocation with reduced measurement overhead.JEPA-Inspired Latent Field Prediction for Sparse-Pilot MIMO-OFDM Channel Reconstruction
Accurate acquisition of full channel state information (CSI) is essential for multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) wireless systems, while dense…AuRaSim: A Ray-Tracing Based Automotive FMCW Radar Simulator for Dynamic Scenarios
Modern simulators can generate synthetic camera and LiDAR data with accurate annotations for downstream tasks.Universal Short-Time Fourier Transform: Data-Adaptive Window-Length Selection for Time-Frequency Analysis
The short-time Fourier transform (STFT) characterizes the local frequency content of time-varying signals by evaluating the discrete Fourier transform over a sliding analysis window.TERRA: Task-Oriented Edge AI for Regional Fire Detection with Identity-Free Reporting
Distributed fire-monitoring systems may involve many sensing devices reporting over a shared uplink, even though the operational objective is often to identify regions exhibiting evidence of fire…Understanding Large Language Models as Numerical Optimizers
Large language models (LLMs) have emerged as potential tools for numerical optimization.Federated Learning for Semantic Communications over Multiple Access Channels
This paper presents a federated learning (FL) framework for semantic communication (SemCom) over the multiple access channel (MAC), where multiple distributed transmitters simultaneously convey…