IEEE

Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources Than Sensors: A Deep Learning Methodology

Abstract: Localizing more sources than sensors with a sparse linear array (SLA) has long relied on minimizing a distance between two covariance matrices and recent algorithms often utilize ...
GitHub

Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds

This repository contains the implementation of the experiments presented in our paper "Open-Set Gait Recognition from Sparse mmWave Radar Point Clouds". It is available in early access at this link.
GitHub

TSP3D: Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding

This repo contains the official PyTorch implementation for paper Text-guided Sparse Voxel Pruning for Efficient 3D Visual Grounding. Look here for 中文解读. conda create -n TSP3D python=3.9 conda activate ...
IEEE

Synthesis of Sparse Antenna Arrays Using Denoising Diffusion Probabilistic Models

Abstract: Designing sparse arrays with fewer antenna elements and lower peak sidelobe level (PSLL) is critical and challenging for antenna arrays in terminal devices in Internet of Things (IoT) ...
Thurrott

Microsoft to Replace All C/C++ Code With Rust by 2030

Microsoft is taking an impressive step in modernizing its biggest codebases and will eliminate all C/C++ code by the end of the decade, replacing it with Rust. “My goal is to eliminate every line of C ...