This repository includes the source code of the LS-DNN based channel estimators proposed in "Enhancing Least Square Channel Estimation Using Deep Learning" paper that is published in the proceedings of the 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) virtual conference.
A python module for synthesizing and fitting experimental spectra obtained with Coherent Anti-Stokes Raman Spectroscopy (CARS).
Numerical Analysis Problems and Solutions
Linear line fitting to data and optimising parameters with Gradient Descent algorithm
Several numerical methods are provided here written in Python.
WLS, weighted linear regression in pure Rust w/o any 3d party dependencies or frameworks.
Denoising time series using Least Squares Method in python using NumPy.
Least Square Estimator Implementation with OpenCV and C++
This study proposes a hybridized algorithm termed as Archimedes optimization algorithm-based least square (AOA-LS) technique for estimation of harmonics of a power system
University CS class lab work solution. Theme: The Least Square Method implementation with CPP and Qt
This project implements various mathematical functions to approximate given data points using the Least Squares Method.
Includes data interpolation(involves Newton and Lagrange methods) and data fitting(involves solution of linear equations and least square method).
Least square method simply stock price prediction. Data's being scraped via investing.com.
Project about extened kalman filtering on simulated 5G ToA measurements for positioning. "054183 Geoinformatics Project" course at Politecnico di Milano.
KCL and KVL for the bridge circuit
Herramienta que automatiza calculos de regresion lineal y genera informes.
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