In this robust model fitting method, the main assumption is that, the Gaussian we are looking for, has the majority of data points. If it doesn't, this turns the problem into a clustering problem. If ...

The fitting strategy is obtained by implementing the Expectation Maximization algorithm, which will find the MLE for the K gaussian compoenents underlying the observations; the number of iterations to ...

This paper presents a comparative study of modelling and segmentation of P and T waves in electrocardiograms, using three different mathematical models: Gaussian function, a composition of two ...