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?
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
Build a Digital Voltmeter
Build a digital voltmeter using MATLAB® Support Package for Raspberry Pi® Hardware.
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
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.
Codegen of Pack and Unpack Example
This example shows how to generate code from packData and unpackData
Pack and Unpack Data Example for MATLAB
Pack and unpack data using the provided packData and unpackData functions
These examples will show how to communicate with other hardware when running a MATLAB Function or Simulink Model directly on a desktop computer.
Designing a High Angle of Attack Pitch Mode Control
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
Approximating Nonlinear Relationships: Type S Thermocouple
Approximate nonlinear relationships of a type S thermocouple.
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
Three-dimensional plots typically display a surface defined by a function in two variables, z = f(x,y) .