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?
Modeling the United States Economy
Illustrates the use of a vector error-correction (VEC) model as a linear alternative to the Smets-Wouters Dynamic Stochastic General Equilibrium (DSGE) macroeconomic model, and applies many of the techniques of Smets-Wouters to the description of the United States economy.
Modeling an Automatic Transmission Controller
Model an automotive drivetrain with Simulink®. Stateflow® enhances the Simulink model with its representation of the transmission control logic. Simulink provides a powerful
Introduction to Streaming Signal Processing in MATLAB
Use System objects to do streaming signal processing in MATLAB. The signals are read in and processed frame by frame (or block by block) in each processing loop. You can control the size of each
Removing High-Frequency Noise from an ECG Signal
Lowpass filter an ECG signal that contains high frequency noise.
Getting Started with Robotics Playground
This toolbox provides a set of Simulink virtual environments to aid in robotics educations. Users can interact directly with robots via actuator and sensor blocks to learn to program robots
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
Approximating Nonlinear Relationships: Type S Thermocouple
Approximate nonlinear relationships of a type S thermocouple.
2-D and 3-D Plots
To create two-dimensional line plots, use the plot function. For example, plot the value of the sine function from 0 to 2\pi :
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.