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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
IEEE

Model-Based Deep Learning for Multi-Source 2D-DOA Estimation with Uniform Circular Array

In this paper, a novel two-dimensional direction-of-arrival (2D-DOA) estimator with uniform circular arrays (UCAs) based on model-based deep learning is presented. Inspired by the interpretability of ...
IEEE

2D Silicon Photonic Metalens-based Focal Plane Array (FPA) Optical Beam Steering with Wide Field-of-View (FOV) for Chip-to-Chip Optical Wireless Communication (OWC)

Abstract: We put forward and demonstrate a 2D wide field-of-view (FOV) silicon photonics (SiPh) optical beam steerer via a metalens focal plane array (FPA). We illustrate the potential implementations ...
GitHub

lanun: 2D Lagrangian Particle Transport for Idealized Ocean Basins

A Numba-accelerated Python library for simulating two-dimensional Lagrangian particle transport in idealized semi-enclosed ocean basins using Bell's incompressible flow field. This is an idealized 2D ...
GitHub

AKDE: Multivariate Adaptive Kernel Density Estimation Using Gaussian Mixture Model

AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...