MATLAB Examples
Acquire and display data from an accelerometer attached to a vehicle driven under uneven road conditions.
Work with arrays having more than two dimensions. Multidimensional arrays can be numeric, character, cell, or structure arrays.
Perform basic peak analysis. It will help you answer questions such as: How do I find peaks in my signal? How do I measure distance between peaks? How do I measure the amplitude of peaks of a signal which is affected by a trend? How do I find peaks in a noisy signal? How do I find local minima?
Economists and policymakers are concerned with understanding the dynamics of economies, especially during periods of significant macroeconomic shocks. Although numerous approaches are possible, we will develop a small macroeconomic model in the style of Smets and Wouters.
Acquire IQ Data from a signal analyzer over a TCP/IP interface.
Load point cloud data.
Automatically create a panorama using feature based image registration techniques.
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
Use Simulink® to model a toy quadcopter, based on the Parrot (R) series of mini-drones, to help estimate the snow levels on the MathWorks Apple Hill campus roof.
Fit an exponential model to data using the fit function.
Automatically detect and track a face in a live video stream, using the KLT algorithm.
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
Model a conceptual air traffic control (ATC) radar simulation based on the radar range equation.
To create two-dimensional line plots, use the plot function. For example, plot the value of the sine function from 0 to 2\pi :
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
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
Three-dimensional plots typically display a surface defined by a function in two variables, z = f(x,y) .
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
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