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 being adopted in communication systems for the potential gains in capacity they realize when using multiple antennas. Multiple antennas use the spatial dimension in
Fit Exponential Models Using the fit Function
Fit an exponential model to data using the fit function.
Face Detection and Tracking Using Live Video Acquisition
Automatically detect and track a face in a live video stream, using the KLT algorithm.
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.
Designing a Guidance System in MATLAB and Simulink
Use the model of the missile airframe presented in a number of published papers (References ,  and ) on the use of advanced control methods applied to missile autopilot design. The
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
Anti-Windup Control Using a PID Controller
Use anti-windup schemes to prevent integration wind-up in PID controllers when the actuators are saturated. We use the PID Controller block in Simulink® which features two built-in
Manipulating Multidimensional Arrays
Work with arrays having more than two dimensions. Multidimensional arrays can be numeric, character, cell, or structure arrays.
Simulation of a Bouncing Ball
Use two different approaches to modeling a bouncing ball using Simulink®.
To create two-dimensional line plots, use the plot function. For example, plot the value of the sine function from 0 to 2\pi :
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