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Updated: 22 hours 29 min ago
This slideshow shows you how to build an on-off controller for a Simulink model
UT Dallas electrical engineering students complete signals and systems assignments by writing short MATLAB programs and generating C code with MATLAB Coder to create mobile apps that run on their smartphones.
Chalmers students tackle real-world engineering problems with Simulink models and a driver-in-the-loop automotive simulator that moves through six degrees-of-freedom as they drive.
Purdue researchers developed MATLAB machine learning algorithms that can classify saliva-alcohol test strip images and identify the corresponding blood alcohol level.
An independent MATLAB consultant shows how, by investing a small amount of time, you can accelerate MATLAB programs by a large factor.
This article shows how to extrapolate the size of the U.S. population using polynomials, splines, exponentials, and the census app in Cleve’s Laboratory.
This article describes how a Kaggle competition winner trained classification models that could predict epileptic seizures from human intracranial electroencephalograph (EEG) recordings.
Engineers and scientists use MATLAB to build predictive models, compare machine learning algorithms, and integrate data analytics into production systems.
Developing PLC-Based Control and Management Systems for Electric and Diesel Multiple-Unit Railway Vehicles
PESA engineers model low-level software requirements, run simulations to verify their designs, and generate IEC 61131-3 Structured Text for deployment to a programmable logic controller (PLC).
This example shows how to assess the impact of an RF front end on baseband modeling and standard measurements such as EVM.
Using an oncology model as an example, this article describes a workflow for developing and deploying an application for simulating a mechanistic PK/PD model built using SimBiology.
Using MATLAB, researchers analyzed signals detected by the Laser Interometer Gravitational Wave Observatory. They confirmed the signals were gravitational waves from a collision of black holes.
RPI’s mechatronics curriculum combines multidomain theory with lab projects based on a take-home kit that includes an Arduino based microcontroller, a DC motor, and MATLAB and Simulink software.