Measuring Signal Similarities
Measure signal similarities. It will help you answer questions such as: How do I compare signals with different lengths or different sampling rates? How do I find if there is a signal or just noise in a measurement? Are two signals related? How to measure a delay between two signals (and how do I align them)? How do I compare the frequency content of two signals?
Modeling the United States Economy
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.
Perform classification using discriminant analysis, naive Bayes classifiers, and decision trees. Suppose you have a data set containing observations with measurements on different variables (called predictors) and their known class labels. If you obtain predictor values for new observations, could you determine to which classes those
Face Detection and Tracking Using the KLT Algorithm
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
Face Detection and Tracking Using Live Video Acquisition
Automatically detect and track a face in a live video stream, using the KLT algorithm.
Simulation of a Bouncing Ball
Use two different approaches to modeling a bouncing ball using Simulink®.
Wind Farm (IG)
Phasor simulation of a 9-MW wind farm using Induction Generators (IG) driven by variable-pitch wind turbines.
Getting Started with Sphero Connectivity Package
How the Sphero Connectivity Package can be used to connect to a Sphero device and perform basic operations on the hardware, such as change the LED color, calibrate the orientation of the robot
Troubleshooting Connection Issues with Sphero
Sphero is not listed under available devices when creating the sphero object, or the following error is received:
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
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
Approximating Nonlinear Relationships: Type S Thermocouple
Approximate nonlinear relationships of a type S thermocouple.
To create two-dimensional line plots, use the plot function. For example, plot the value of the sine function from 0 to 2\pi :
Three-dimensional plots typically display a surface defined by a function in two variables, z = f(x,y) .