MATLAB For Electronics

MATLAB for Electronics focuses on how to implement complex, finite-state machines using stateflow and creating a model based design using Simulink. The course gives an understanding about the operation performed on different images and signals using image processing and signal processing toolbox.

The course also provides information on how to create, train, visualize and simulate neural networks as well as design and simulate fuzzy logic systems.

The Real time applications plays a very important role.This course gives exposure to the students to work on different hardwares like Arduino, Raspberry Pi, Android sensors, UART and IoT based applications.

Course Objective:

This course gives guidance on the key features of widely used toolboxes in simulink, helps to transform concepts to a complete model, verifyies and evaluates the system behaviour in different user environments.

It also allows the attendees to explore the more advanced features of MATLAB like simulink modelling, Internet of Things (IOT), HDL coder and Various hardware interfacing with MATLAB in a unified manner and help learners ‘future-proof’ themselves and remain relevant for the rapidly evolving technology from an industryial perspective.

What Will I Learn?

• Introduction to MATLAB environment
• Simulink modelling
• Model Based Designing
• Stateflow modelling
• Computer Vision / Digital Image Processing– Script and Simulink
• Algorithms such as object detection/ recognition/ segmentation/ tracking/ classification
• Digital Signal Processing – Script and Simulink
• Developing applications usingGUI environment
• Fuzzy Logic Toolbox
• Neural Networks Toolbox
• Interfacing Arduino with MATLAB – Script and Simulink
• Interfacing Raspberry Pi with MATLAB – Script and Simulink
• Verilog Code Generation usingHDL coder in MATLAB and Xilinx ISE with FPGA
• Interfacing MATLAB withEmbedded Systems
• MATLAB and the Internet of Things (IoT)
• Interfacing Android Sensors with MATLAB