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
Simulation of a Bouncing Ball
Use two different approaches to modeling a bouncing ball using Simulink®.
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
Fit Exponential Models Using the fit Function
Fit an exponential model to data using the fit function.
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.
Illustrates a workflow for modeling an audio processing application in MATLAB and deploying C/C++ code to create a standalone application on a Raspberry Pi. MATLAB coder generates
Run MATLAB Code on Raspberry Pi Hardware
Illustrates a MATLAB® Coder™ based workflow for running MATLAB code on Raspberry Pi. MATLAB Coder generates readable and portable C / C++ code from MATLAB code, supporting most of the MATLAB
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
Air Traffic Control Radar Design
Model a conceptual air traffic control (ATC) radar simulation based on the radar range equation.
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
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
Three-dimensional plots typically display a surface defined by a function in two variables, z = f(x,y) .