Circle Center Fitting Using Least Squares Estimation
Least squares estimation-based circle fitting algorithm for calculating circle center coordinates and radius with mathematical implementation approach
Comprehensive Probability Distribution Fitting Toolkit with Maximum Likelihood Estimation Algorithms
This algorithm collection provides fitting functions for multiple probability distributions, including Maximum Likelihood Estimation (MLE), Least Squares Estimation (LSE), and Expectation-Maximization (EM) algorithm-based Gaussian mixture model estimation. The package includes EM algorithm test cases with practical implementations and plotting functions for each distribution visualization. The implementation demonstrates parameter optimization techniques and distribution fitting workflows, making it highly valuable for statistical modeling and machine learning applications.
Multiple Gaussian Mixture Model Estimation with Implementation Details
This algorithm implementation includes maximum likelihood estimation, least squares estimation, EM algorithm-based Gaussian mixture model estimation with test cases, and plotting functions for each distribution. Features comprehensive code examples demonstrating parameter optimization techniques and expectation-maximization workflows.
Position Location Algorithm Based on Least Square Estimation
This algorithm implements node positioning using Least Square Estimation with Time of Arrival (TOA) measurements between transmitters and receivers. The code demonstrates the complete positioning methodology while generating a 2D visualization of the calculated node coordinates, incorporating essential implementation details through embedded comments.
CFO Estimation in OFDM Systems
Carrier Frequency Offset (CFO) Estimation Techniques in Orthogonal Frequency Division Multiplexing (OFDM)