Use the fit function to fit a Gaussian model to data.

This examples shows you how to filter an ECG signal that has high-freqquency noise, and remove the noise by low-pass filtering.

Automatically detect and track a face using feature points. The approach in this example keeps track of the face even when the person tilts his or her head, or moves toward or away from the

Detect regions in an image that contain text. This is a common task performed on unstructured scenes. Unstructured scenes are images that contain undetermined or random scenarios. For

Simulate a basic communication system in which the signal is first QPSK modulated and then subjected to Orthogonal Frequency Division Multiplexing. The signal is then passed through an

Phasor simulation of a 9-MW wind farm using Induction Generators (IG) driven by variable-pitch wind turbines.

Rare events prediction in complex technical systems has been very interesting and critical issue for many industrial and commercial fields due to huge increase of sensors and rapid growth

Among many statistical anomaly detection techniques, Hotelling’s T-square method, a multivariate statistical analysis technique, has been one of the most typical method. This method

Though Hotelling’s T-square method is applicable for many multi-dimensional data sets, this method has a fundamental assumption that the data follow a unimodal distribution. So, when the

The previous methods, Hotelling’s T-square method and Gaussian mixture model, use Gaussian distribution-based parametric model. However, in practical situation, sometimes data

The present example illustrates the calculation of the Obukhov length using the eddy-covariance method. The input is made of time series of the along-wind and vertical wind velocity

The wind spectra for a neutral and unstable atmospheric stratification are computed following the model proposed by Højstrup [1]. The model of Højstrup aims to describe the wind spectra in

Three-dimensional plots typically display a surface defined by a function in two variables, z = f(x,y) .

Approximate nonlinear relationships of a type S thermocouple.

Combine Stateflow® with Simulink® to efficiently model hybrid systems. This type of modeling is particularly useful for systems that have numerous possible operational modes based on

Simulate the working of an automatic climate control system in a car using Simulink® and Stateflow®. You can enter a temperature value you would like the air in the car to reach by double

Use Simulink® to model a hydraulic cylinder. You can apply these concepts to applications where you need to model hydraulic behavior. See two related examples that use the same basic

Basic techniques and functions for working with matrices in the MATLAB® language.