Gaussian Mixture Model with Expectation-Maximization Algorithm for Parameter Estimation

A parameter estimation model for Gaussian mixture distributions using the Expectation-Maximization algorithm, applicable in communication systems, signal processing, and statistical analysis with implementation-ready algorithmic frameworks.