A compact realtime embedded Attitude and Heading Reference System (AHRS) using Recursive Least Squares (RLS) for magnetometer calibration and EKF/UKF for sensor fusion on Arduino platform
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Updated
May 19, 2020 - C++
A compact realtime embedded Attitude and Heading Reference System (AHRS) using Recursive Least Squares (RLS) for magnetometer calibration and EKF/UKF for sensor fusion on Arduino platform
Recursive Leasting Squares (RLS) with Neural Network for fast learning
Channel estimations based on RLS, LMS and ML methods.
Adaptive equalizer implementations based on RLS(Recursive Least Squares) and LMS(Least Mean Squares).
Adaptable generative prediction using recursive least square algorithm
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using rls to estimate the system : y =exp(-x)
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Adaptive Signal Processing (2020 Fall)
University group project concerning the sensorless estimation of the contact forces between a needle mounted on the end-effector of a robot manipulator and a penetrated tissue, and subsequent prediction of layer ruptures using Recursive Least Squares algorithm.
A Model-Based Signal Processing Library Working With Windowed Linear State-Space and Polynomial Signal Models.
Different flavours of CUSUM for change point detection
A collection of embedded PID (Proportional – Integral – Derivative) controller tuning methods.
Course materials and MATLAB/Simulink codes for projects in coursework - System Identification and Estimation
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