Yumei Hu's repositories
RadarEngineering_Antenna_SDR
Projects involving Radar engineering and Radar DSP. These were part of a master level Radar Engineering course that I took during my undergrad study
Clustering-Hidden-Markov-Models-with-Variational-Bayesian-Hierarchical-EM
VBHEM code & example
Consensus
Implements consensus algorithms on fixed and time varying graphs
cresis-toolbox
CReSIS Toolbox: Polar radar software toolbox (mostly Matlab based). Includes OPS interface.
EKF_fusion
Using an Extended Kalman Filter to calculate a UAV's pose from IMU and GPS data.
Estimation-of-ionospheric-echo-direction-of-HF-surface-wave-radar
My graduation project
manifold_cdkf
Central difference kalman filter which can work with states on a manifold
marsis-radar
Utilities for reading and ploting ESA MARSIS radar data
MATLAB_SAR
A basic MATLAB library to demonstrate reading, writing, display, and simple processing of complex SAR data using the NGA SICD standard.
MR-POMDP
MR-POMDP example problems
nputhesis
西北工业大学硕士/博士学位论文 LaTeX 模板
polarPcolor
polarPcolor draws a pseudocolor plot in polar coordinates with a polar grid.
POMDP
Implementing a RL algorithm based upon a partially observable Markov decision process.
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
radar-target-generation-and-detection-1
Generating targets and detecting range and velocity from simulated FMCW waveform radar signals using the Range/Doppler FFT method and displaying targets using the 2D CFAR visualization.
Radar-Target-Generation-And-Detection-2
Calibrate, threshold, and filter radar data to detect obstacles.
RadarDataProcessing
Implementations of some basic algorithms in radar data processing
SAR-Synthetic-Aperture-Radar
合成孔径雷达 相关。研究生期间学习 SAR/InSAR/PolSAR 相关的代码和总结，毕业后已经离开这个领域了。分享出来，仅此纪念。1）SAR: 成像算法，RD，CS，Radarsat-1数据成像处理。2）InSAR: 人造场景原始回波仿真、成像及干涉处理。包括平地场景和圆锥形场景。3）PolSAR: 极化定标算法，Whitt, PARC, Quegan, Ainsworth。详见 readme.md
Self-Driving-Cars
Coursera Open Courses from University of Toronto
SFND_Radar_2D_CFAR
Radar Target Generation and Detection using 2D CA-CFAR
SimulatedRadarWaveformGenerator
A software tool that generates simulated radar signals and creates RF datasets for developing and testing machine/deep learning detection algorithms.
sir_pomdp
Matlab Toolbox for epidemic management using partially observable decision process framework for action selection
Sleep_Scheduled-routing-in-Wireless-Sensor-Networks
In order to minimize energy consumption of sensor nodes in wireless sensor networks, this paper presents an Energy Efficient Sleep-Scheduled Tree-Based Routing Protocol (EESSTBRP) that modifies the chain formation in PEGASIS to create a set of paired and unpaired nodes in the network based on a distance and sensing range threshold. The paired nodes switch between active and sleep modes so as to remove redundant data and save battery power. To minimize energy consumption as nodes switching between the modes, this scheme considers the transitioning to be done based on a point of near depletion of the nodes’ residual energy. To further reduce energy consumption during transmission, this protocol utilizes prim’s minimum spanning tree mechanism to route data from the active nodes to the Base Station (BS). Simulation results show that this proposed mechanism can significantly improve network lifetime in comparison to PEGASIS
tango
You are tasked with the development of an autonomous drone delivery system for light-weight package transportation around the West Cambridge site. By using high-fidelity drone models from the new MathWorks UAV Toolbox, you will develop an autonomous ground control system that coordinates one (or more!) drones around the site. Consider how to incorporate path and task planning, motor and plant control, and sensing & perception for navigation and obstacle avoidance. Evaluation in the realistic UE4 simulation will include simulated sensor data from 3D LIDAR readings and simulated camera input.
Unpredictable_planning_POMDP
Unpredictable planning under partial observability
VBAKF-Q
Algorithm: adaptive kalman filter, variational bayesian approximation, unknown process noise covariance.
vbmc
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
VPAKF-R
state estimation for UAV, variational Bayesian adaptive Kalman filter, state augmentation.