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?
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.
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
Control HC-SR04 Ultrasonic Sensor
Use the MATLAB® Support Package for Arduino® Hardware to control a HC-SR04 ultrasonic ranging module capable of measuring distances in the 2cm to 400cm range.
Computing a fractal dimension with Matlab: 1D, 2D and 3D Box-counting
F. Moisy, 9 july 2008. University Paris Sud.
Lagrange Interpolation Polynomial
If you have a set of N points on a cartesian plane, there will always exist an N-1th order polynomial of the form y = a_0 + a_1.x + a_2.x^2 + ... a_n-1.x^(n-1) which passes through all the points.
I become fascinated with the elegant mathematics of discrete math when my father gave me the Discrete Mathematics course by professor Benjmin through the Great Courses. When I saw the video
Loading the Files, extract Parameters, Ranges & Backtest Results
This example was authored by the MathWorks community.
This script file is designed to be used in cell mode from the matlab editor, or best of all, use the publish to HTML feature from the matlab editor. Older versions of matlab can copy and paste
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
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
Simulation of a Bouncing Ball
Use two different approaches to modeling a bouncing ball using Simulink®.
You can display multiple plots in different subregions of the same window using the subplot function.