This article is a sequel to the two-part series on background subtraction. The series used a low-complexity frame-difference method to illustrate the basics of MATLAB to C conversion. In this article, ...

This comprehensive MATLAB project spans multiple weeks, focusing on advanced image processing techniques. From initial image capture and editing to exploring sophisticated transformations and ...

Abstract: Background: Efficient data processing is an increasing additional important part in computer science, especially with large growing datasets. MATLAB is a complex and most often used tool ...

The PLoM (Probabilistic Learning on Manifolds) software is a MATLAB-based toolbox designed to perform advanced probabilistic modeling and learning on manifolds. It is particularly useful for analyzing ...

Modelithics, the leading independent provider of accurate RF/microwave models for multiple electronic design automation (EDA) simulation software tools, is pleased to launch the NEW Modelithics ...

Abstract: In recent years, there has been a significant and exponential increase in the demand for electric vehicles (EVs), which has consequently heightened the necessity for charging stations. The ...

It depends on what you're doing with it. Just ad-hoc data manipulation and analysis, or full-blown application development? For the latter, I do have Matlab Advanced GUI Development and A Guide to ...