A high-resolution direction-of-arrival finding algorithm relying on finite rate of innovation sampling with a robust reconstruction algorithm.
-
Updated
Oct 16, 2018 - Python
A high-resolution direction-of-arrival finding algorithm relying on finite rate of innovation sampling with a robust reconstruction algorithm.
Toolbox for Wavefield Inertial Sensing Techniques
A DNN based Normalized Time-frequency Weighted Criterion for Robust Wideband DoA Estimation
MicRank is a Learning to Rank neural channel selection framework where a DNN is trained to rank microphone channels.
Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology
Introduction to seismo-acoustic waves in the Earth’s spheres - TU Delft
Diffusion models at the covariance-matrix level: reproducible baselines, structural audit and DDPM prior for DOA estimation
Fast covariance-based spatial spectra (Bartlett, Capon/MVDR, MUSIC, IAA) for arrays on a lattice: exact lag-domain evaluation by matrix products, FFT or chirp-z; calibrated manifolds; NumPy, CuPy and PyTorch.
Invisibility Cloak - Real-Time Optical Camouflage
Topophone2 uses the array covariance to decompompose the underlying wavefield into its constituent parts within a probabilistic framework, estimating the full posterior probability distributions of their parameters.
Official implementation of the ME-SAGE-QS detector for mainlobe deceptive interference. Software and repository name: GME-QS.
Map sound sources from microphone-array measurements with Acoular beamforming, interactive plots and optional camera overlays.
To associate your repository with the array-processing topic, visit your repo's landing page and select "manage topics."