MATLAB Technical Sessions – October 17

October 17, Bldg 50 Auditorium – two more Matlab Sessions

Although registration is not mandatory, please consider doing so for planning purposes.

Register here

Agenda

Attend this free seminar to find out how you can use MATLAB and its add-on products to develop algorithms, visualize and analyze data, and perform numeric computation. MathWorks engineers will provide an overview of MATLAB through live demonstrations, examples, and user testimonials, showing how you can use MATLAB and related toolboxes to:

• Access data from many sources (files, other software, hardware, etc.)
• Use interactive tools for iterative exploration, design, and problem solving
• Automate and capture your work in easy-to-write scripts and programs
• Share your results with others by automatically creating reports
• Build and deploy GUI-based applications

Many applications require access to live or real-world data from external devices. You will also see how you can:

• Connect to instruments and data acquisition cards from MATLAB
• Acquire live signals, images, and video inside MATLAB
• Use MATLAB to build and deploy a test application

MATLAB provides a flexible environment for teaching and research in a wide range of applications, including signal processing and communications, image processing, math and optimization, statistics and data analysis, control systems, hardware data acquisition, computational finance, and computational biology.

This seminar is appropriate for attendees with beginner to expert MATLAB experience. |

This seminar will describe strategies for handling large amounts of data in MATLAB and avoiding “out-of-memory” errors. It will provide you with an understanding of the causes of memory limitations in MATLAB and a set of techniques to increase the available memory in MATLAB. It will also show techniques for minimizing memory usage in MATLAB while accessing, storing, processing, and plotting data.

Additionally, accessing memory across multiple systems using parallel computing will be explored.

• Understanding memory and its constraints
• Minimizing your memory footprint in MATLAB
• Accessing memory across multiple systems |