MATLAB & Simulink Course Contents, pdf - Figes.com.tr

More documents

Recommendations

Info

• Exporting data Pre requisites <strong>MATLAB</strong> Fundamentals (ML01), or equivalent experience using <strong>MATLAB</strong>. ********************************************************************************** <strong>MATLAB</strong> Programming Techniques Training Objectives <strong>MATLAB</strong> Programming Techniques provides hands-on experience using the features in the <strong>MATLAB</strong> language to write efficient, robust, and well-organized code. These concepts form the foundation for writing full applications, developing algorithms, and extending built-in <strong>MATLAB</strong> capabilities. Details of performance optimization are covered throughout the one-day course, as well as tools for writing, debugging, and profiling code. Topics include: • Programming for correctness • Structuring data • Structuring code • Classes and objects Pre requisites <strong>MATLAB</strong> Fundamentals (ML01), or equivalent experience using <strong>MATLAB</strong> and familiarity with basic programming concepts. ********************************************************************************** <strong>MATLAB</strong> for Building Graphical User Interfaces Training Objectives This one-day course demonstrates how to build graphical user interfaces (GUIs) in <strong>MATLAB</strong>. It explains how to build GUIs in <strong>MATLAB</strong> from the <strong>com</strong>mand line by using GUIDE, the GUI development environment. The course introduces concepts for designing and laying out GUIs. Demos show how you can link actions defined by code to a user interface object, such as a push button. You will also learn how to create custom menus for GUIs. Pre requisites <strong>MATLAB</strong> Fundamentals (ML01), or equivalent experience using <strong>MATLAB</strong>. ********************************************************************************** <strong>Simulink</strong> ® for System and Algorithm Modeling Training Objectives 2
This course is for engineers who are new to system and algorithm modeling and design validation in <strong>Simulink</strong>. It demonstrates how to apply basic modeling techniques and tools to develop <strong>Simulink</strong> block diagrams. Topics include: • Creating and modifying <strong>Simulink</strong> models and simulating system dynamics • Modeling continuous-time, discrete-time, and hybrid systems • Modifying solver settings for simulation accuracy and speed • Building hierarchy into a <strong>Simulink</strong> model • Creating reusable model <strong>com</strong>ponents using subsystems, libraries, and model references If your application is Signal Processing or Communications, please refer to our <strong>Simulink</strong> for Signal Processing course. Pre requisites Knowledge of <strong>MATLAB</strong> basics. ********************************************************************************** <strong>MATLAB</strong> for Signal Processing (two days) Signal processing in the <strong>MATLAB</strong> environment, including the capabilities of the Signal Processing and Filter Design toolboxes. The first day of the course is an introduction to signal processing concentrating on representations of signals in <strong>MATLAB</strong>, spectral analysis, and working with linear, time-independent system models. The second day concerns filter design, with a <strong>com</strong>prehensive treatment of FIR, IIR, adaptive, and multirate filters. Filter quantization and implementation are also discussed. Pre requisites <strong>MATLAB</strong> Fundamentals and Programming Techniques (ML01) or equivalent experience using <strong>MATLAB</strong>. Students are expected to have some exposure to signal processing techniques prior to taking this advanced course. ********************************************************************************** Image Processing with <strong>MATLAB</strong> Training Objectives This two-day course shows how to use Image Processing Toolbox to perform various image processing techniques. The course explores the different types of image representations, how to enhance image characteristics, image filtering, and how to reduce the effects of noise and blurring in an image. It also introduces different methods used to extract features and objects within an image, image registration, and a few techniques for reconstructing images and objects. Pre requisites 3
Page 1: MATLAB & S
Page 5 and 6: • Simulink Respo

MATLAB & Simulink Course Contents, pdf - Figes.com.tr

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?