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Every paper Pith has read. Search by title, abstract, or pith.
866 papers in eess.SP · page 1
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Mixture of experts network cuts resource overhead in aerial-terrestrial URLLC systems
Deep Mixture of Experts Network for Resource Optimization in Aerial-Terrestrial CF-mMIMO Systems under URLLC
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NOMA outperforms WDMA at high SNR in pinching antenna systems
Downlink Performance Analysis of Pinching Antenna Systems: WDMA or NOMA?
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FaSST matches LFNST gains at 84 percent lower complexity
FaSST: Fast Sparsifying Secondary Transform
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Attention network cuts IRS pilots by 87 percent
Multi-Block Attention for Efficient Channel Estimation in IRS-Assisted mmWave MIMO
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Benchmark predicts signal angles from city maps at 0.948 similarity
Map2APS: A Physically Grounded Benchmark for Direct Angle Power Spectrum Prediction from Urban Geometry
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Clutter anchors detect 5G antenna tilts without sensors
Antenna Tilt Failure Detection and Estimation via Integrated Sensing and Communications
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WHTDM outperforms OFDM by 10x in BER at 120 km/h
WHTDM: Walsh-Hadamard Transform Division Multiplexing for Doubly-Selective Channels
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Four-channel scheme reduces laser noise in Rydberg sensors
Weight Hybrid Architecture of Rydberg-Atomic Sensors
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CP-OFDM yields lower ranging CRB than frequency-spread waveforms for large N
CP-OFDM Achieves Lower Ranging CRB Than Frequency-Spread Waveforms in the Large-Sample Regime
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Model forensics verifies AI integrity in wireless networks
Model Forensics in AI-Native Wireless Networks: Taxonomy, Applications, and Case Study
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Analog RF computing slashes client energy for edge AI by ~100x
Analog RF Computing: A New Paradigm for Energy-Efficient Edge AI Over MU-MIMO Systems
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Dual-mode switching cuts energy in embodied AI networks
Joint Communication and Computation Design for Mobile Embodied AI Network (MEAN)
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Message passing refines delayed states to correct multi-agent Q-networks
An Encoded Corrective Double Deep Q-Networks for Multi-Agent Control Systems
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Wrong UAV energy models cause large calculation errors
UAV Energy Consumption Models for Wireless Systems Research: Model Selection and Misconceptions
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Instantaneous frequency fitting beats Nyquist limit in FMCW lidar
FMCW Lidar Beyond Nyquist by Instantaneous Frequency Fitting
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Ocean wave model predicts ranges for underwater-to-air drone optical links
Air-Sea Surface Modeling and Operating Link Range Evaluation for AUV-to-UAV Optical Wireless Communication Links
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Adaptive internal preprocessing beats external searches on 42 of 57 NIRS datasets
Reframing preprocessing selection as model-internal calibration in near-infrared spectroscopy: A large-scale benchmark of operator-adaptive PLS and Ridge models
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This paper analyzes the achievable sum-rate in multiuser uplink segmented…
Joint Segment Activation and Antenna Placement for Uplink SWAN Systems
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Manifold volume enters GP bandit regret lower bound
Manifold-Aware Information Gain and Lower Bounds for Gaussian-Process Bandits on Riemannian Quotient Spaces
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Fusion network spots UAV line-of-sight at 97.69 percent accuracy
Sensing-Assisted LoS/NLoS Identification in Dynamic UAV Positioning Systems
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LiDAR maps scatterers for accurate 6G U2V channels
A Multi-Modal Intelligent U2V Channel Model for 6G Sensing-Communication Integration
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Kronecker structure decouples 2D angle estimation
Decoupled Azimuth Elevation AoA Estimation Exploiting Kronecker Separable Steering Matrices
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SimART unifies simulators into one pipeline for 6G ISAC data
SimART: A Unified and Open Real-world Multimodal Simulation Platform for 6G Integrated Sensing and Communication
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This paper evaluates metasurface-based fluid antenna systems for multi-user wireless…
Implementing Fluid Antennas in the Beamspace: Performance Evaluation and Codebook Design
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0.09B model turns PPG into ECG at 0.83 F1
Compact Latent Manifold Translation: A Parameter-Efficient Foundation Model for Cross-Modal and Cross-Frequency Physiological Signal Synthesis
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EEG model links brain signals to medical knowledge for better decoding
KAST-BAR: Knowledge-Anchored Semantically-Dynamic Topology Brain Autoregressive Modeling for Universal Neural Interpretation
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Blockages raise coverage in satellite-terrestrial networks
Impact of Terrestrial Blockage on the Coverage of Integrated Satellite-Terrestrial Networks
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Manifold kernels cut beam selection regret 25-45%
Geometry-Aware Multi-Armed Bandits for Antenna Beam Selection on Spheres, Tori, $\SO(3)$, and Reconfigurable Intelligent Surfaces
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Cross-harmonic alignment builds accurate proxy models for TF-RIS
Cross-Harmonic Ambiguity-Aligned Multiport Parameter Estimation for Time-Floquet RIS
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Exact repair achieves optimal storage and bandwidth in quantum storage
Simultaneously Minimizing Storage and Bandwidth Under Exact Repair With Quantum Entanglement
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Commercial 5G dataset aids AI handover and beam management
Enabling AI-Native Mobility in 6G: A Real-World Dataset for Handover, Beam Management, and Timing Advance
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Spiking nets cut massive MIMO CSI feedback energy by 93%
Massive MIMO CSI Feedback with Spiking Neural Networks
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Artifact rejection boosts low-SNR MI-BCI accuracy most
From EEG Cleaning to Decoding: The Role of Artifact Rejection in MI-based BCIs
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State space models beat transformers for ECG foundation models
Pretraining Strategies and Scaling for ECG Foundation Models: A Systematic Study
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The paper proposes a recurrent transformer model using a single block with state memory…
Recurrent Transformer-Based Near- and Far-Field THz Wideband Channel Estimation for UM-MIMO
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Block filtering speeds long-context prefilling
BFLA: Block-Filtered Long-Context Attention Mechanism
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Cell statistics alone set movable-antenna positions
Slow Movable Antenna System Design Based on Cell-Specific Long-Term Angular Power Spectrum
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Beamspace sorting yields SNR from one mmWave sample
Low-Complexity Blind SNR Estimator for mmWave Multi-Antenna Communications
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Spectral projection enables compact vision transformers for medical images
Spectral Vision Transformer for Efficient Tokenization with Limited Data
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Adaptive power control keeps RSMA feasible in MIMO under imperfect CSI
Adaptive RSMA-OMA for Resilient MIMO Networks Under Imperfect CSI and SIC
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Riemannian covariance matching beats Euclidean methods
Spatial Power Estimation via Riemannian Covariance Matching
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Energy split between sensing and uploads improves federated models
ISAC for AI: A Trade-off Framework Across Data Acquisition and Transfer in Federated Learning
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RL agent localizes GNSS interference sources at 80% success
Active Sensing with Meta-Reinforcement Learning for Emitter Localization from RF Observations
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Signal segment consistency trains modulation classifiers with fewer labels
Modulation Consistency-based Contrastive Learning for Self-Supervised Automatic Modulation Classification
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Cross-attention autoencoder stays accurate under spectrometer shifts
Bin Latent Transformer (BiLT): A shift-invariant autoencoder for calibration-free spectral unmixing of turbid media
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Neural model reconstructs radio paths from point clouds
PointNeRT: A Physics Aware Neural Ray Tracing Surrogate for Propagation Channel Modeling
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Backscatter cuts IoT radio power by up to 1000x
Long-Range Backscatter: A Bottom-Up Approach
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TOA methods detect both Lamb modes from plate impacts despite noise
Assessment of Time-of-Arrival Estimation Methods for Impact Detection in Isotropic Plates using Piezoceramic Sensors
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Steered LLM handles both traffic forecasting and missing-value imputation
U-STS-LLM A Unified Spatio-Temporal Steered Large Language Model for Traffic Prediction and Imputation
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Generalized Q-factor estimates multiport antenna bandwidth
Multiport Antenna Q-factor