qingju-tech

qingju-tech's Stars

• wozaimoyu/SELDNET-DOA-pytorch

  SELDNET-DOA-pytorch: PyTorch-based 3D sound localization, tracking & DOA estimation. Efficient, user-friendly, with multiple data formats & examples.

  11

• ShreJais/Grid-less-DOA

  Sequential DOA Trajectory Estimation using Deep Complex Network and Residual Signals

  Language:Python2

• dz1007668679/Shared-Spatial-Sparsity-Enabled-DOA-Estimation-of-Time-Varying-Arrays-Using-FCN-Based-Deep-Learning

  Language:Python4

• Armorhtk/MSEDOA

  This is an PyTorch implementation Deep Learning based DOA Estimation

  Language:Python4

• omerbokobza/DOAsAlgorithmsImpl

  Traditional & Deep-Learning approach / implementation for DOA Estimation

  Language:Jupyter Notebook41

• hung2mono/DOA

  Improve accuracy of DOA estimation using Artificial Intelligence Techniques

  Language:Python3

• horribleheffalump/AUVResearch

  AUV position estimation with seabed acoustic sensing and DOA measurements (extended Kalman filter and conditionnaly minimax nonlinear filter)

  Language:Python146

• SOUNDS-RESEARCH/complex_neural_source_localization

  Complex-valued neural networks for DOA estimation

  Language:Jupyter Notebook175

• TaraEsmaeilbeig/one_bit_DoA_estimation

  we explore an application of deep unrolling in the direction of arrival (DoA) estimation problem when coarse quantization is applied to the measurements.

  Language:Jupyter Notebook71

• hslcode/DOA-Scalable

  Language:Python1

• Saiqin/DOA_CGAN_Jamming_Attacks

  Evaporative Angle: A Generative Approach to Mitigate Jamming Attacks in DOA Estimation

  Language:MATLAB5

• fanrongca/YOLO-DoA

  Language:Python1

• achinthaw/RME-GAN

  Codes for RME-GAN paper

  Language:Python12

• shmueldo/DeepCNNDoA

  This repository implements the model which presented in "Deep Networks for direction of arrival estimation in low snr" paper, IEEE 2021. An additional improvement for this work is added, in the form of spatial smoothing pre-processing technique.

  Language:Python7

• GT-OP/Deep-learning-aided-Direction-of-arrival-estimation

  Language:Python1

• yangyi0818/DOA-estimation-with-a-stacked-self-attention-network

  A stacked self-attention network for two-dimensional direction-of-arrival estimation in hands-free speech communication

  Language:Python113

• jijunkai/Transformer_Music

  Language:Jupyter Notebook81

• TANG16/DAE4mulDOA

  Fast DoA estimation of multiple targets using a Denoising Autoencoder and sparse arrays

  196

• zhiim/doatools.py_fork

  A fork of doatools.py, with more DOA estimation algorithms added

  Language:Python7

• Chaos-v/DOA-Estimation

  水下目标方位估计算法，包括：基于常规波束形成的时间窗方法以及基于卷积神经网络的时间窗方法

  Language:Python11

• ysparkwin/RobustSBL

  Language:MATLAB113

• chenhui07c8/DOA-AOA-algorithms

  Direction-of-Arrival Algorithms

  Language:MATLAB6821

• chenpengseu/PassiveDOA-ISAC-RIS

  The passive sensing method for the ISAC system with RIS

  Language:MATLAB8721

• ruxinzh/Deep_RSA_DOA

  Antenna Failure Resilience: Deep Learning-Enabled Robust DOA Estimation with Single Snapshot Sparse Arrays

  Language:Python131

• fakufaku/doamm

  Implementation of algorithms for refinement of direction of arrival estimators by optimization

  Language:Python154

• adrianSRoman/DeepWaveDOA

  ICASSP 2024: Robust DOA estimation from deep acoustic imaging

  Language:Python111

• zdai257/DeepAOANet

  Language:Python82

• gomezcuba/CASTRO-5G

  A collection of 5G multipath channel modeling, estimation and location tools in python

  Language:Jupyter Notebook151

• salmane-s9/Bistatic_ISAC

  Implementation of "Complex Neural Network based Joint AoA and AoD Estimation for Bistatic ISAC"

  Language:MATLAB192

• mntabassm/SAEN-LARS

  Sequential adaptive elastic net (SAEN) approach, complex-valued LARS solver for weighted Lasso/elastic-net problems, and sparsity (or model) order detection with an application to single-snapshot source localization.

  Language:MATLAB164