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 11
Scaling of Wireless Foundation Models via Representation Diversity and Multi-Branch Architectures
Wireless foundation models learn representations from unlabeled radio signals for reuse across downstream tasks.RRM-GPT: A Framework and Vision for Radio Resource Management Foundation Models
Learning-based models for radio resource management (RRM) are typically built for a single function and deployment, so each new setting repeats the development pipeline.System One Models for Wireless Decision-Making:Applications and Performance Evaluation
Many wireless control tasks require repeated selection of a single action from a finite feasible set under stringent latency and reliability constraints.GS-Codec: A Gaussian-Splatting Bottleneck for Neural Audio Coding
Neural audio codecs compress waveforms into compact discrete tokens that underpin speech language models, real-time communication, and large-scale audio storage.What Should World Models Forget? Stratified Retention for Continual Adaptation
Continual learning treats degradation on previously seen data as evidence of failure, a convention inherited from settings with a stationary prediction target, where a correct label remains correct…CortexBridge: Cortical Alignment of EEG Montages for Foundation Models
Electroencephalography (EEG) foundation models are often pretrained with a fixed channel vocabulary or a limited set of montages, making transfer difficult when electrode layouts change.Artifact Annotations Partially Substitute for Per-User Calibration: SAFE-EDA and a Normalization-Controlled Evaluation of Wrist-EDA Affect Recognition
Wrist electrodermal activity (EDA) differs in amplitude from one person to the next, so affect-recognition models normalize their input before classification.Inferring Multi-Timescale Neural Dynamics with Switching Linear Dynamical Systems
Neural activity often exhibits multiple timescales that can vary with behavioral states and task conditions.Token Communication-Assisted Collaborative Embodied Artificial Intelligence: Concepts, Framework, and Opportunities
Collaborative embodied artificial intelligence (CEAI) enables multiple physical agents to perceive, reason, and act cooperatively in dynamic environments.SCORE-LM: State-Space Radar Representations with Language Models for Fault Diagnosis
Radar hardware faults threaten automated perception, motivating accurate, compact diagnosis and understandable maintenance guidance.Importance-Aware Feature Sparsification for Wireless Split Learning
Wireless split learning (SL) reduces on-device computation by offloading upper layers to a server, yet transmitting high-dimensional intermediate features at each iteration remains a major…Magnetic based In-situ Self 3D Pose Estimation for a Modular Soft Tendon-Driven Continuum Robot via IMU-Fusion
Continuum robots are well suited for gentle manipulation because of their inherent compliance and ability to adapt to complex environments.AIMS: An Agentic AI Framework for Sim-to-Real Multi-Modal ISAC
Multi-modal integrated sensing and communication (ISAC) enables environmental perception and reliable connectivity for intelligent wireless networks.Grounding Time-Series Foundation Models in Digital Twin Topology for Predictive Maintenance
Digital twins increasingly support downstream analytical tasks that depend on time-series data, motivating interest in time-series foundation models (TSFMs) as scalable backbones.Non-Invasive Inspection of Water Canals Using Dronar
Open concrete canals play a vital role in water transportation, serving as primary water infrastructure for millions of people across the Phoenix, Arizona, metro area.Signal Processing over Product DAGs: Causal Shifts and Filters
We develop a signal processing framework for signals indexed by the product of two directed acyclic graphs (DAGs) and described by a linear structural equation model (SEM).WIPSNet: Deep Learning for Paediatric Wheeze Detection from Overnight Impedance Pneumography
Overnight impedance pneumography (IP) is used to monitor paediatric respiratory health.AIR-LLM: Broadcasting AI Weights over Radio for Memory-Free Edge LLM Inference via RF Computing
Next-generation large language models (LLMs) are expanding from the cloud to ubiquitous edge devices.Mean Spatial Frequency Decoupling for Learning-Based Uplink-to-Downlink Covariance Conversion in FDD Massive MIMO
In frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems, the uplink (UL)-to-downlink (DL) channel covariance matrix (CCM) conversion problem is studied to relieve…End-to-End Historical Music Restoration in Latent Space
Historical music restoration (HMR) has almost exclusively focused on constrained problems such as Super-Resolution or the restoration of solo pieces, under-exploring the general task of restoring…