Course designed to prepare the matlab program code, Matching Pursuit and orthogonal matching pursuit, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.

Principal component analysis of multivariate data analysis projection, Using MATLAB dynamic clustering or iterative self-organizing data analysis, ML estimation method can be a good signal to noise ratio.

Based on matlab GUI interface design, There are detailed notes, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.