wanggxue

wanggxue's Stars

• NekSfyris/ESEKF_IMU_GNSS_Lidar

  Sensor fusion between IMU, GNSS and Lidar data using an Error State Extended Kalman Filter.

  Language:Python6714

• GreatBruceYoung/ES-EKF-based-LiDAR-GNSS-IMU-fusion

  ES-EKF-based LiDAR/GNSS/IMU fusion for trajectory estimation

  Language:Python92

• WH-Huan/JL-CNN

  The code of Joint Learning CNN for Vibration Signal Denoising and Bearing Fault Diagnosis under Unknown Noise Condition.

  Language:Jupyter Notebook212

• wmyCDUT/TEM-NLnet_demo

  This project is for the paper, TEM-NLnet: A Deep Denoising Network for Transient Electromagnetic Signal with Noise Learning

  Language:Python223

• parthkl021/Respiratory-Sound-Classification-using-Wavelet-Denoising-and-Deep-Learning-

  Leveraged wavelet denoising and deep learning techniques for the classification of respiratory sounds. - Implemented signal processing techniques and wavelet denoising for audio data cleanup and feature extraction. - Developed and trained a deep learning model (Conv1D, Bi-LSTM, CNN, RNN) for phase identification

  Language:Python3

• sinahsnn/Signal-Audio-Image-Denoising-using-Recurrent-Neural-Network-RNN-

  In this repository, RNN structures were used to denoise various signals and images.

  Language:Jupyter Notebook2

• Omid-SH/Signal-Denoising-Using-Recurrent-Neural-Networks

  Using RNN and LSTM for 1D and 2D noisy signals, noisy voice, and noisy images denoising

  Language:Jupyter Notebook41

• Dhriti03/Noise-Reduction

  The Real time Noise cancellation from Audio data signal . Like the construction noise with the denoising the signal .

  Language:Python9819

• SamuelXJames/Signal-Denoising-Autoencoder

  A Deep Denoising Autoencoder for Time Dependent Signals

  Language:Jupyter Notebook208

• AI4EPS/DeepDenoiser

  DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks

  Language:Python18360

• paulyehtw/Sensor-Fusion-Using-ES-EKF

  Implement Error-State Extended Kalman Filter on fusing data from IMU, Lidar and GNSS.

  Language:Python236

• diegoavillegasg/IMU-GNSS-Lidar-sensor-fusion-using-Extended-Kalman-Filter-for-State-Estimation

  State Estimation and Localization of an autonomous vehicle based on IMU (high rate), GNSS (GPS) and Lidar data with sensor fusion techniques using the Extended Kalman Filter (EKF).

  Language:Python19438

• AbhinavA10/mte546-project

  EKF for sensor fusion of IMU, Wheel Velocities, and GPS data for NCLT dataset

  Language:Python112

• matteo-liguori/EKF-Bike-Multibody-Sensor-Fusion-

  A MATLAB and Simulink project. Includes controller design, Simscape simulation, and sensor fusion for state estimation. By: Matteo Liguori; Supervisor and Collaborator: Francesco Ciriello Professor at King's College London

  Language:MATLAB7

• madhavgupta8/Sensor-fusion-EKF

  Language:MATLAB1

• yuwwang123/EKF-Pose-Velocity-Estimation

  AprilTag based perception: Pose Estimation with Homography; Velocity Estimation with Optical Flow & RANSAC; Sensor Fusion with EKF

  Language:MATLAB5

• dssdanial/Sensor-Fusion-Based-on-EKF

  Language:MATLAB1

• wannain/Multi_Sensor_Fusion_Algorithm_EKF

  Multi-Sensor Fusion Algorithm in Localization for vehicles based on extended Kalman filter

  Language:MATLAB141

• zm0612/eskf-gps-imu-fusion

  误差状态卡尔曼ESKF滤波器融合GPS和IMU，实现更高精度的定位

  Language:C++648152

• jranieri/OptimalSensorPlacement

  Matlab code to reproduce the figure of the paper "Near-optimal sensor placement for linear inverse problems"

  Language:Matlab23

• amirmohan/Insense

  Insense is an optimization algorithm to select a few linear measurements from a large matrix in a sparse recovery task.

  Language:MATLAB63

• Spratm-Asleaf/TVLAP-KF

  Online supplementary materials of the paper titled "A Model for Non-Stationary Time Series and Its Applications in Filtering and Anomaly Detection"

  Language:MATLAB31

• Spratm-Asleaf/Range-Correction

  Online supplementary materials for the paper titled "Denoising, Outlier/Dropout Correction, and Sensor Selection in Range-Based Positioning"

  Language:MATLAB2

• AleksandarHaber/Sensor-Selection-for-Nonlinear-Networks

  In this repository, we post MATLAB algorithms for selecting nodes of networks with nonlinear dynamics.

  Language:MATLAB31

• Fluid-Dynamics-Lab-Nagoya-University/Greedy-Sensor-Selection-Algorithm

  This repository contains Matlab R2020a code to solve the sparse sensor selection problem by the greedy method

  Language:MATLAB63

• bshedges/Kalman-Filter-Sensor-Selection

  Investigates a greedy algorithm for sensor placement in linear control systems through the lens of Kalman Filtering

  Language:MATLAB52

• zhao62/Deep-Residual-Shrinkage-Networks

  The deep residual shrinkage network is a variant of deep residual networks.

  Language:Python463109

• nbgwang/Nearly-Optimal-Sensor-Selection-for-TDOA-Based-Source-Localization-in-Wireless-Sensor-Networks

  Language:MATLAB111

• bubbliiiing/retinanet-pytorch

  这是一个retinanet-pytorch的源码，可以用于训练自己的模型。

  Language:Python17827