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 17
Bridging the Gap in ECG-Based Emotion Recognition: A Unified Evaluation of Deep Learning Models
Deep learning has led to numerous proposed architectures for Automated Emotion Recognition (AER) from electrocardiogram (ECG) data, but inconsistencies in preprocessing, training, and evaluation…Transforming harmonic coefficients for 3D splat compression
We address the problem of color attribute compression for 3D splats.Task-Directed Residual AddUNet:Perfect-Reconstruction Routing for Full-Rate Representations
This paper establishes a perfect-reconstruction (PR) interpretation of AddUNet and its full-rate realization, and introduces a Residual Full-Rate PR architecture for task-directed representation…A Sentinel-2 benchmark dataset for deep-learning active-fire segmentation across 25 California wildfires
This article describes an open image dataset for developing and evaluating active-fire segmentation methods in satellite imagery.Channel-Informed Neural Network for Physical Layer Key Generation
Physical-layer key generation (PKG) enables wireless devices to establish shared keys from reciprocal channel observations without directly exchanging the key.PRI-Net: A Lightweight Multimodal Framework for 3D UAV Localization
Accurate 3D localization of unmanned aerial vehicles (UAVs) remains challenging for existing multimodal approaches due to sparse LiDAR geometry, modality-imbalanced fusion, and redundant feature…Should All Noises Be Treated Equally: Impact of Input Noise Variability on Neural Network Robustness
Geophysical data collected from active field sites are often contaminated by complex and heterogeneous noise, obscuring weak seismic events, and complicating automated interpretation.Toward a Layer-2 Trigger for AI/ML Lifecycle Management in 6G
3GPP has progressively expanded AI/ML lifecycle management in the radio access network, from one-sided model control to Release 20 support for two-sided CSI-feedback model pairing.Channel-Adaptive Region Adjacency Graph Carriers for Semantic Image Communication
Semantic image communication seeks to preserve task-relevant scene structure under limited channel resources, but carriers are often dense latent tensors or grid-aligned semantic layouts that do not…HELENA for 5G NR LEO NTN Channel Estimation: A Comparative Evaluation
Deep Learning (DL)-based channel estimation has shown high accuracy and low latency in terrestrial 5G NR, but Low Earth Orbit (LEO) Non-Terrestrial Networks (NTNs) introduce Doppler and…POLARIS: Training-Free Audio Fingerprinting with Saliency-Based Landmarks and Delaunay Grouping
This work presents POLARIS, a training-free audio fingerprinting system that selects landmarks from a locally normalized saliency field and groups them into sparse fingerprints using Delaunay…Trustworthy, Explainable, and Sustainable Decentralized Intelligence for 6G Networks
As 6G networks transition from theoretical frameworks into operational realities, artificial intelligence (AI) evolves from an add-on optimization tool into a distributed and interconnected…On Large-Scale Multiple Testing Over Networks: A Non-Asymptotic Approach
Distributed multiple testing asks $N$ sites to control a global false discovery rate (FDR) under a tight communication budget.FRIST: FMRI Representation Informed Shared-space Training Improves EEG-only Individual-Finger BCI Decoding
Finger-level motor decoding is important for naturalistic brain-computer interface (BCI) control, yet individual-finger decoding from scalp electroencephalography (EEG) remains challenging because…Hybrid Physics-AI Framework of Body Center of Mass Dynamics from Wrist-Worn Sensors
Wrist-worn IMU has been widely used for daily-life health monitoring.RF-VoID: Towards Bandwidth-Efficient Exterior Tile Void Detection via Narrowband Radio-Frequency Representation Learning
Hidden debonding behind exterior ceramic tiles is a falling-tile hazard, and millimeter-wave radar offers a non-contact way to find it.Prism-SQA: An Interpretable and Adaptable Neural Framework for Surface Electromyography Quality Assessment
sEMG is vulnerable to various contaminants that distort signal morphology and spectral content.Privacy-Preserving Deep Joint Source-Channel Coding with In-Loop Concept Erasure
Deep joint source-channel coding (DeepJSCC) transmits learned semantic features efficiently but can leak sensitive attributes such as gender, race, or speaker identity.X-RACE: XAI-assisted Recurrent neural network Attribution for Channel Estimation
Deep learning models, notably Long Short-Term Memory (LSTM), have demonstrated promising performance in channel estimation for high-mobility vehicular environments.Rethinking Radiomap Blind Prediction with Limited Environment and Configuration Representations
Radiomap blind prediction infers radiomaps from observable representations of the propagation environment and base station (BS) configuration without field measurements.