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
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?
Dynamic Matrix Control Tutorial
Dynamic Matrix Control (DMC) was the first Model Predictive Control (MPC) algorithm introduced in early 1980s. Nowadays, DMC is available in almost all commercial industrial distributed
Build a Digital Voltmeter
Build a digital voltmeter using MATLAB® Support Package for Raspberry Pi® Hardware.
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.
Investigation of the friction velocity
The friction velocity retrieved with the double and triple rotation as well as the planar fit algorithm is compared to the target one.
Example Planar Fit (PF)
The algorithm proposed by Wilczak et al.  is used to correct the tilt angles of one anemometer.
Example double rotation
The double rotation algorithm is used to correct the tilt angle of one anemometer
Example triple rotation
The triple rotation algorithm is used to correct the tilt angle of one anemometer
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®.
Basic Matrix Operations
Basic techniques and functions for working with matrices in the MATLAB® language.
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