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
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?
QPSK and OFDM with MATLAB System Objects
Simulate a basic communication system in which the signal is first QPSK modulated and then subjected to Orthogonal Frequency Division Multiplexing. The signal is then passed through an
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
The fopmap function creates a map of a flight line from waypoints. Flight lines are placed in context of Bedmap2 gridded data (color), Bedmap2 surface (contours), and MOA2009 grounding
The fopprofile function creates a vertical profile of surface elevation, bed elevation, and aircraft elevation along a flight line given waypoints. This function does NOT require
The fopturns function generates a flight path including turns path for given waypoints.
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
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
Air Traffic Control Radar Design
Model a conceptual air traffic control (ATC) radar simulation based on the radar range equation.
You can display multiple plots in different subregions of the same window using the subplot function.