There are 1 repository under recursive-least-squares topic.
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).
This is a disciplined Python implementation of the Recursive Least Squares Method
Adaptable generative prediction using recursive least square algorithm
Classical adaptive linear filters in Julia
Acoustic Echo Cancellation
An algorithm for RLS model parameters identification using MATLAB.
Hopfield NN, Perceptron, MLP, Complex-valued MLP, SGD RMSProp, DRAW
Lectures notes for the basics of adaptive filtering
Fuzzy systems control course project - Petroleum University of Technology
using rls to estimate the system : y =exp(-x)
Adaptive Signal Processing (2020 Fall)
Microcontroller-friendly C implementation of Recursive Least Squares (RLS) for running gradient analysis, including linear, cubic, and quadratic trends, optimized for real-time trend and peak detection
Remote repository for the INFO-H-515 Big data project (phase 2)
A Model-Based Signal Processing Library Working With Windowed Linear State-Space and Polynomial Signal Models.
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 collection of embedded PID (Proportional – Integral – Derivative) controller tuning methods.
A vanilla implementation of recursive least squares to estimate the parameters of a IIR filter
Course materials and MATLAB/Simulink codes for projects in coursework - System Identification and Estimation
A systems control library. Design classical and modern controllers: Transfer functions, state space models, Kalman filters, recursive least square estimators, linear quadratic controllers, ...
This repository contains course materials for "Fundamentals of Modern Control Theory", a graduate-level course focused on the analysis and design of linear and nonlinear control systems.
Least squares and recursive least squares implementation. 2D line fit to noisy data.
Transfer matrix measurements using a recursive least-squares algorithm