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 3
Spectral-Convolutional Factorized Transformer for Joint Multipath Parameter Estimation: Applications to mmWave Positioning and Radio SLAM
Future 6G wireless networks are expected to evolve toward AI-native systems that support intelligent, environment-aware services, including positioning and mapping.AI-Aided and AI-Oriented Integrated Sensing, Communication, and Computation: A Survey
The evolution from 5G to 6G networks marks a transition toward the "intelligence of everything.Learning Gradients of Homogeneous Functions
Homogeneous gradient functions have widespread significance, including applications in maximum energy subspace selection and retrieval problems.Secrecy Sum-Rate Maximization for RSMA-Enabled Pinching-Antenna Systems
This paper investigates secrecy sum-rate (SSR) maximization in a downlink rate-splitting multiple access (RSMA)-enabled single-waveguide pinching-antenna system (PASS) with an external eavesdropper.6G Uplink Waveform and Rank Selection under Distributed Reception
The development of 6G uplink is expanding waveform and spatial transmission options, while distributed reception makes their relative merits depend on the spatial and frequency structure of the…Worst-User Outage Probability Minimization in Active RIS-Aided Systems
In this paper, a worst-user outage probability minimization problem in active reconfigurable intelligent surface (RIS)-aided systems is addressed.Assessing Temporal Dispersion of Time-Varying Channel at 38 GHz for Different Reference Signals
This paper investigates the influence of reference waveform selection on temporal dispersion estimation in a time-varying radio channel at 38 GHz.Domain-Aware Hierarchical Federated Learning for UAV Swarms Across Heterogeneous Environments
Hierarchical federated learning (HFL) enables communication-efficient training in unmanned aerial vehicle (UAV) swarms, but performance degrades under changing and heterogeneous environments.FADE: A Flow-Based Approach for Multichannel Tail Estimation
Ultra-Reliable Low-Latency Communication (URLLC) is vulnerable to rare low-received-power events, and the spatial-diversity benefits of multiple receivers can be significantly reduced when they…Ray-Tracing-Parameter-Based Lightweight Hybrid Precoding via Cascade XGBoost for Wideband Massive MIMO-OFDM Systems
Hybrid precoding reduces the radio-frequency (RF) hardware burden in wideband massive MIMO-OFDM systems, but conventional optimization and deep neural network (DNN)-based approaches can incur high…Green Learning-Based Signal-Level Detection of RIS Spoofing Attacks in Vehicular ISAC Systems
Integrated sensing and communication (ISAC) enables wireless infrastructure to jointly support communication and environmental sensing, but also introduces new physical-layer security threats.ECGJev: Question-Conditioned Option Scoring for 12-Lead ECG Interpretation
Clinical interpretation of a 12-lead electrocardiogram (ECG) often requires answering targeted diagnostic questions with clear, quantifiable decisions.Wideband Microwave Linear Analog Computer (MiLAC) for Frequency-Flat and Frequency-Selective Processing
Microwave linear analog computer (MiLAC) has been proposed as an analog processing architecture to perform efficient computation in the microwave domain.Inner-Speech Decoding from EEG Across Three Corpora Under a Fixed Architecture and Protocol
Inner-speech decoding from electroencephalography could support non-invasive communication for people with severe motor impairment, but comparison across studies is hindered by dataset- and…When Does Spatial Cooperation Help? Contamination Regimes in Decentralized Online Spectrum Anomaly Learning
Learning-based spectrum monitors adapt online to benign propagation changes, but persistent rogue transmissions can gradually become incorporated into the learned background.From Confounding to Counterfactuals: A Cross-Layer Causal Model for RAN Scheduling
Data-driven control in radio access networks (RANs) selects resource allocations using associations between control actions and key performance indicators (KPIs) learned from network telemetry.Spatial Token Interleaving and Two-Pass BP Decoding for Semantic Image Transmission
Semantic error control coding (SECC) can correct the residual errors of a standard channel code with a foundation model that supplies a prior on the source content, but existing SECC schemes are…Service-Area Robust NOMA for Pinching Antennas Systems
Pinching-antenna systems (PASS) enable near-field beam focusing using radiating points along a dielectric waveguide, but coherent spherical-wave superposition makes their channels sensitive to small…Low-PAPR Rank-2 DFT-s-OFDM Waveform for 6G Uplink
Rank-2 discrete Fourier transform-spread orthogonal frequency-division multiplexing (DFT-s-OFDM) is attracting renewed interest for 6G uplink, offering not only spatial multiplexing gains but also…What matters in classical machine learning for non-intrusive load monitoring? A factorial benchmark on REFIT with validation on unseen houses
Published classical machine-learning results for appliance ON/OFF classification in nonintrusive load monitoring (NILM) range from F1-type scores of 0.53 to 0.98, and the sources of this spread have…