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 16
Classification-oriented adaptive sensing via posterior sampling
Recent advances in diffusion models have enabled high-performance, instance-adaptive compressed sensing through posterior sampling, without task-specific policy training.How Many Posterior Samples? Calibrated Stopping for Adaptive Sensing
In classification-oriented adaptive sensing, posterior samples characterize uncertainty at the current measurement state and can serve two roles: they may guide the next sensing direction, while…MAGNETAR: Multipath-Guided Spatial Posteriors for Transmitter Pose Inference in the Upper Mid-Band
Robots that localize a radio transmitter need more than a point estimate: in cluttered rooms, one measurement is often consistent with several transmitter locations and, because upper-mid-band…Do Spinning Radar Doppler Velocity Measurements Improve Vehicle Detection and Tracking?
Spinning frequency-modulated continuous-wave (FMCW) radars have been gaining popularity in autonomous vehicle perception on account of their robustness to adverse weather conditions and 360° field…MAPLE-RF: Efficient Probabilistic RF Source Localization in Partially Explored Environments
Localizing a radio-frequency (RF) transmitter from received signals often requires a model of the environment to predict how obstacles block and reflect the signal.FedeRage: Provably Convergent Agnostic Federated Learning under General Client Drift
Federated learning (FL) enables collaborative model training without sharing raw data, but its performance degrades under non-IID data and stochastic client participation.Beyond Direct Sensing: Harnessing Indirect Observations from Third-Party Sensors in Vehicle Tracking
Vehicle tracking is fundamental to applications ranging from urban mobility and public safety to security and defense.Semantic CSI Feedback for Beam Selection: When Task-Aware Embeddings from Sparse Pilots Outperform Full-Bandwidth Reconstruction
Classical CSI feedback in FDD massive MIMO transmits a compressed reconstruction of the channel, optimizing fidelity to the original signal regardless of the downstream task.Gradient Descent with Stochastic Subspaces via Persistence of Memory
Stochastic subspace methods have gained popularity as gradient descent based techniques for large scale optimisation problems, especially in distributed settings.Learning Array Signal Topologies as Conditional Neural Manifolds
Subspace methods such as multiple signal classification (MUSIC) achieve super-resolution direction of arrival (DoA) estimation by exploiting the orthogonality between the array manifold and the…Stable Filters for Generative Modeling of Graph Signals
Generating signals on graphs requires permutation-equivariant models that exhibit stability with respect to relative structural perturbations.GrainSpeech: Less Context, More Detail for Compact Speech Synthesis
Compact acoustic models face a challenging quality-capacity trade-off.4D Radar Perception Algorithms for Autonomous Driving: A Review
Research on 4D millimeter-wave radar perception algorithms has flourished in recent years, extending from signal processing and object detection to semantic segmentation, motion estimation…Radio-Frequency Convolutional Neural Networks
Running artificial intelligence (AI) models directly on edge devices such as smartphones, wearables, and drones offers low latency, pervasive scalability, and data privacy, but these devices rarely…Online Gradient Computation for Warping Gaussian Process Transformations
Warped Gaussian processes (GPs) handle non-Gaussian observations by mapping them into a latent standard GP via a parametric transformation called warping.A Systematic Evaluation of Machine Learning Methods for Fault Detection and Line Identification in Electrical Power Grids
The integration of renewable energy sources into the electrical grid introduces complex challenges in fault detection and coordination of grid recovery mechanisms.Goal-oriented probabilistic forecasting for dynamic PRB allocation in 5G networks
Efficient physical resource block (PRB) allocation in 5G networks requires accurate demand forecasting.Set-membership localization of intermittent RF sources using a fleet of collaborating UAVs
This paper proposes a set-membership approach (SMA) to localize radio frequency (RF) sources observed by a collaborating fleet of Unmanned Aerial Vehicles (UAVs).Yarn tracking of large-scale 3D textile reinforcements using topological material features
Automated segmentation of CT images has become increasingly important to enhance the reliability of simulations through the generation of high fidelity numerical models.Enhanced thermal stability of SiGeSn by suppressing surface-mediated degradation
$\text{SiGeSn}$ alloys are promising silicon-compatible semiconductors for monolithic infrared photonics.