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

Hopfield NN, Perceptron, MLP, Complex-valued MLP, SGD RMSProp, DRAW

An algorithm for RLS model parameters identification using MATLAB.

Lectures notes for the basics of adaptive filtering

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

using rls to estimate the system : y =exp(-x)

Fuzzy systems control course project - Petroleum University of Technology

Different flavours of CUSUM for change point detection

Remote repository for the INFO-H-515 Big data project (phase 2)

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.

Kernel Recursive Least Squares