Removing High-Frequency Noise from an ECG Signal
This examples shows you how to filter an ECG signal that has high-freqquency noise, and remove the noise by low-pass filtering.
Compute Sample ACF and PACF
Compute the sample autocorrelation function (ACF) and partial autocorrelation function (PACF) to qualitatively assess autocorrelation.
Introduction to MIMO Systems
Multiple-Input-Multiple-Output (MIMO) systems, which use multiple antennas at the transmitter and receiver ends of a wireless communication system. MIMO systems are increasingly
Modeling a Fault-Tolerant Fuel Control System
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
Face Detection and Tracking Using Live Video Acquisition
Automatically detect and track a face in a live video stream, using the KLT algorithm.
Unstable and neutral stratifications
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
Neutral and unstable spectra
The wind spectra for a neutral and unstable atmospheric stratification are computed following the model proposed by Højstrup . The model of Højstrup aims to describe the wind spectra in
Simulating Automatic Climate Control Systems
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
Approximating Nonlinear Relationships: Type S Thermocouple
Approximate nonlinear relationships of a type S thermocouple.
You can display multiple plots in different subregions of the same window using the subplot function.
Basic Matrix Operations
Basic techniques and functions for working with matrices in the MATLAB® language.
Radar Tracking Using MATLAB Function Block
Use an extended Kalman filter with the MATLAB® Function block in Simulink® to estimate an aircraft's position from radar measurements. The filter implementation is found in the MATLAB