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Found 12 papers, 2 papers with code
Self-supervised Contrastive Learning for 6G UM-MIMO THz Communications: Improving Robustness Under Imperfect CSI
This paper investigates the potential of contrastive learning in 6G ultra-massive multiple-input multiple-output (UM-MIMO) communication systems, specifically focusing on hybrid beamforming under imperfect channel state information (CSI) conditions at THz.
A Fast Effective Greedy Approach for MU-MIMO Beam Selection in mm-Wave and THz Communications
This paper addresses the beam-selection challenges in Multi-User Multiple Input Multiple Output (MU-MIMO) beamforming for mm-wave and THz channels, focusing on the pivotal aspect of spectral efficiency (SE) and computational efficiency.
Decoding Human Activities: Analyzing Wearable Accelerometer and Gyroscope Data for Activity Recognition
In this paper, a stratified multi-structural approach based on a Residual network ensembled with Residual MobileNet is proposed, termed as FusionActNet.
Syn-Att: Synthetic Speech Attribution via Semi-Supervised Unknown Multi-Class Ensemble of CNNs
In this paper, a novel strategy is proposed to attribute a synthetic speech track to the generator that is used to synthesize it.
Quantum Convolutional Neural Networks with Interaction Layers for Classification of Classical Data
Quantum Machine Learning (QML) has come into the limelight due to the exceptional computational abilities of quantum computers.
Low Complexity Iterative 2D DOA Estimation in MIMO Systems
Multiple-input multiple-output (MIMO) systems play an essential role in direction-of-arrival (DOA) estimation.
A CNN based Multifaceted Signal Processing Framework for Heart Rate Proctoring Using Millimeter Wave Radar Ballistocardiography
The recent pandemic has refocused the medical world's attention on the diagnostic techniques associated with cardiovascular disease.
Robust 2-D DOA Estimation in a Polarization Sensitive Single User Environment
A low complexity algorithm that estimates the DOA angles in a closed-form manner is developed.
Low Complexity Single Source DOA Estimation Based on Reduced Dimension SVR
Conventional direction of arrival (DOA) estimation algorithms suffer from performance degradation due to antenna pattern distortion and substantial computational complexity in real-time execution.
Rectangular Planar vs Concentric Circular Array for 5G Beamforming
The transmitter signals in the fifth generation (5G) wireless networks suffer from significant path loss due to the use of higher frequencies in Sub-6 GHz and millimeter-wave (mmWave) bands.
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans
A multi-phase optimization strategy is introduced for solving the challenges of complicated diagnosis at a very early stage of infection, where an efficient lesion segmentation network is optimized initially which is later integrated into a joint optimization framework for the diagnosis and severity prediction tasks providing feature enhancement of the infected regions.
Co-Designing Statistical MIMO Radar and In-band Full-Duplex Multi-User MIMO Communications -- Part I: Signal Processing
We consider a spectral sharing problem in which a statistical (or widely distributed) multiple-input multiple-output (MIMO) radar and an in-band full-duplex (IBFD) multi-user MIMO (MU-MIMO) communications system concurrently operate within the same frequency band.
