gaoxueburan

gaoxueburan's Stars

• usnistgov/SP800-90B_EntropyAssessment

  The SP800-90B_EntropyAssessment C++package implements the min-entropy assessment methods included in Special Publication 800-90B.

  Language:C++2034816888

• chauby/PolynomialInterpolation

  Smooth trajectory interpolation by polynomial methods.

  Language:MATLAB1462040

• Videmo/pymot

  Objective evaluation of tracker performance with the Multiple Object Tracking (MOT) measures.

  Language:Python12813945

• shuoyueqishi/fuzzy-PID-controller

  This repository uses C++ to implement a fuzzy PID controller to automatically tune PID parameters Kp,Ki and Kd.

  Language:C++967137

• NekSfyris/ESEKF_IMU_GNSS_Lidar

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

  Language:Python684014

• Alro10/MOESP-and-N4SID

  Subspace methods for MIMO system identification

  Language:MATLAB604310

• MajidMoghadam2006/radar-vision-sensor-fusion-matlab

  Object-level sensor fusion using radar and vision synthetic data in MATLAB

  Language:MATLAB29113

• tesiawang/Optimal-channel-estimator-for-IRS

  An optimal channel estimation scheme for intelligent reflecting surfaces based on a minimum variance unbiased estimator

  Language:MATLAB22102

• ankitVP77/Sensor-Fusion-for-Object-Detection

  This project focuses on performing early sensor fusion of raw camera and lidar data to faciliate detecting objects and estimating their depth information.

  Language:Python21112

• shub2612/Camera-Radar-Sensor-Fusion

  This repository was made for a scientific research project in my University. Here an application of fusing camera and Radar sensor data is shown to calculate the distance of an object.

  Language:Python10110

• nhammerla/sampleEntropy

  Scripts to calculate sample-entropy

  Language:MATLAB9109

• harrythespartan9/LQGDrone

  This repository is based on Linear-Quadratic-Gaussian (LQG) based stabilization-control and estimation for a single-plane drone model along a desired Non-linear trajectory. The code presented here is based on fixed-time horizon LQG. It might serve as starting point for people interested in Linear-Quadratic Control and Estimation techniques (these techniques are "Energy of the system" based and very intuitive to learn. Thank you! :)

  Language:MATLAB7101

• mattjj/py4sid

  subspace identification for linear systems

  Language:Python69

• shailajaAkella/Directed-Information

  Renyi's matrix based entropy to evaluate DI

  Language:Jupyter Notebook410

• vanessa2213/ControlEngineering

  On completion of the course, I am able to analyze, model, design and evaluate closed-loop continuous control systems for analog processes which achieve the desired performance according to specifications for regulatory control applications for products and processes.

  Language:MATLAB3100

• EEthinker/JVHW-Renyi-entropy-estimators

  The Jiao--Venkat--Han--Weissman Renyi entropy estimators

  Language:MATLAB2102