MATLAB Examples
Design lowpass FIR filters. Many of the concepts presented here can be extended to other responses such as highpass, bandpass, etc.
Detect a particular object in a cluttered scene, given a reference image of the object.
Use imfindcircles to automatically detect circles or circular objects in an image. It also shows the use of viscircles to visualize the detected circles.
The comparison of three DC motor control techniques for tracking setpoint commands and reducing sensitivity to load disturbances:
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 camera.
Stefan Güttel & Nick Hale, 13th December 2011
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
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
Use the fit function to fit a Gaussian model to data.
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
Automatically detect and track a face in a live video stream, using the KLT algorithm.
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
Parameters of the Riemann problem
Constitutive law in 1D elastodynamics
The Riemann problem of 1D elastodynamics
Copyright 2017-2017 The MathWorks, Inc.
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
Approximate nonlinear relationships of a type S thermocouple.
Do some basic matrix manipulations in MATLAB®.
Use the Control System Toolbox™ and Simulink® Control Design™ to interact with Simulink to design a digital pitch control for the aircraft. In this example, we will design the controller to
Use the model of the missile airframe presented in a number of published papers (References [1], [2] and [3]) on the use of advanced control methods applied to missile autopilot design. The
Basic techniques and functions for working with matrices in the MATLAB® language.
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