MATLAB an be used with C and C++ in a variety of ways. The two environments can be used together for signal processing design, including for calling MATLAB from C or C++, using MATLAB code directly in C, or using C code directly in MATLAB.
In this webinar, we demonstrate the workflow for generating readable and portable C/C++ code from your MATLAB algorithms using MATLAB Coder. Using the command line approach or the MATLAB Coder app, you can introduce implementation requirements to your algorithms written in MATLAB and generate readable source code, standalone compiled executable, or a library that can be shared across your organization.
Date: 04 Mar 2021
Time: 15:00 PM (GMT+8)
Kevin Chng is the Application Engineer at Techsource Systems and he focuses on data analytic, data engineering, finance, AI (Machine Learning & Deep Learning), big data and parallel computing with MATLAB.
He helps customer across different industries on applications such as predictive maintenance, time series forecasting, condition monitoring, fault/anomaly detection, computer vision/recognition, data mining, machine learning and deep learning regression/classification.
He is also one of the active contributors to MATLAB community.
Nestor Fernandez currently helps companies and agencies augment their technical computation workflows ranging from financial models to physical systems.
He obtained his Master’s Degree in Applied Science from the National University of Kaohsiung, Taiwan after finishing his Bachelor’s Degree in Applied Physics from UP Diliman. His field of expertise covers Instrumentation and Condensed Matter Physics.