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 being adopted in communication systems for the potential gains in capacity they realize when using multiple antennas. Multiple antennas use the spatial dimension in
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.
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?
Use Simulink® to model a toy quadcopter, based on the Parrot (R) series of mini-drones, to help estimate the snow levels on the MathWorks Apple Hill campus roof.
Getting Started with MATLAB
Welcome to this MATLAB Video tutorial. If you have never used MATLAB before, this demonstration will get you started and show you where to go to next to learn more.
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.
Computing a fractal dimension with Matlab: 1D, 2D and 3D Box-counting
F. Moisy, 9 july 2008. University Paris Sud.
Khan, S., Naseem, I., Togneri, R. et al. Circuits Syst Signal Process (2017) 36: 1639. doi:10.1007/s00034-016-0375-7 https://link.springer.com/article/10.1007/s00034-016-0375-7
Getting Started with CVXOPT Toolbox
This toolbox provides a basic MATLAB interface to CVXOPT's cone LP solver.
Fault Detection and Diagnostics Algorithm Design
This script walks through the data pre-processing and machine learning tasks required to design a fault detection algorithm. The machine learning technique can also be designed to perform
Basic Matrix Operations
Basic techniques and functions for working with matrices in the MATLAB® language.
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
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
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
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