Accelerator physicists at the University of London use multiple simulations and high-throughput comp
Cleve Moler reflects on milestones in the company's history and the development of MATLAB.
Dr. Gene Golub has made the singular value decomposition one of the most powerful and widely used to
The proliferation of multicore systems and clusters sets stage for parallel computing with MATLAB
Free, online book for educators and high-school students looking to go beyond the standard courses
Automated model checks help ensure that standards are correctly implemented in your Simulink model
Extensive simulations help ensure a flawless first flight for a unique aircraft design.
Using four computers, researchers reduced run-time for a computationally intensive application.
Engineers simulated the airflow through 154 kilometers of tunnels and shafts simultaneously.
Dr. L. Popken's analytical model enabled the remote correction of a critical communication error.
PolySpace products prove the absence of run-time errors without the need to compile and run the code
Scenario analysis models enable bank to hold capital against losses arising from operational risk
An integrated framework enables technicians to specify an SDR design at a high level of abstraction
Algorithms translate drive files into reports on vehicle performance and refueling infrastructure
Tools and techniques to create designs that perform as expected over time
Modal analysis of optics data using Zernike functions implemented in MATLAB
Researchers developed a device that sends electrical signals to activate paralyzed limbs and muscles
Use of object-oriented techniques in the MATLAB language to implement typical technical application
UC Davis researchers analyzed high-resolution microscopy images of cells during mitosis.
Methods for modeling and simulating continuous and hybrid continuous-locking mechanical friction.
Creating a digital imaging program to display high-contrast, high-resolution images
Using a thermal model as an example, this article describes a method for communicating with other de
Enable students to learn math and signal processing theory and implement it by MATLAB algorithms
Updating the object-oriented programming capabilities of MATLAB in R2008a
Article on DSP course at VMI that uses MATLAB for live measurement, analysis and visualization
Engineers can integrate state machines and control logic designed in Stateflow and Simulink
Enabling you to select the programming paradigm to work well in a multicore system
Students connect theory with practice by rapidly implementing a real-time controller prototype
Parallel computing can accelerate the solution of computationally expensive optimization problems
EquuSys used MATLAB to develop an easy-to-use, non-invasive system to identify equine lameness