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?
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
Feature Based Panoramic Image Stitching
Automatically create a panorama using feature based image registration techniques.
Compute Sample ACF and PACF
Compute the sample autocorrelation function (ACF) and partial autocorrelation function (PACF) to qualitatively assess autocorrelation.
Introduction to MIMO Systems
Multiple-Input-Multiple-Output (MIMO) systems, which use multiple antennas at the transmitter and receiver ends of a wireless communication system. MIMO systems are increasingly
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
Examples of Data Analytics for Predictive Maintenance
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
Examples of Data Analytics for Predictive Maintenance (1)
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
Examples of Data Analytics for Predictive Maintenance (2)
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
Examples of Data Analytics for Predictive Maintenance (3)
The previous methods, Hotelling’s T-square method and Gaussian mixture model, use Gaussian distribution-based parametric model. However, in practical situation, sometimes data
Unstable and neutral stratifications
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
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
Anti-Windup Control Using a PID Controller
Use anti-windup schemes to prevent integration wind-up in PID controllers when the actuators are saturated. We use the PID Controller block in Simulink® which features two built-in
Simulation of a Bouncing Ball
Use two different approaches to modeling a bouncing ball using Simulink®.
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
To create two-dimensional line plots, use the plot function. For example, plot the value of the sine function from 0 to 2\pi :