Become an expert in MATLAB Programming and Scientific Computing. Advance your career in Computer vision/ Digital image processing- Script & simulink etc
For Electronics & Instrumentation Engineers
Course Type
Topic 1 | Introduction about Fundamental of MATLAB Electronics
Topic 2 | MATLAB Programming Functions & Operation
Topic 3 | MATLAB Programming operation in Editor Window
Topic 4 | 2D & 3D Plot Graph designing by using MATLAB Programming
Topic 5 | Introduction about Simulink
Topic 6 | Discontinuous & Sink Library & their blocks
Topic 7 | Logic & Bit Operations library & their blocks
Topic 8 | Lookup Tables library & their blocks
Topic 9 | The math operations library and their blocks
Topic 10 | Model verification library and their blocks
Topic 11 | Ports and subsystems library and their blocks
Topic 12 | Signal Routing & Masking Simulink Subsystem
Topic 13 | Introduction about GUI
Topic 14 | Building GUI based Electronic Voting Machine (EVM)
Topic 15 | Introduction about Stateflow
Topic 16 | State actions & it's working Operations
Topic 17 | Operating Functions in MATLAB
Topic 18 | Truth Tables in MATLAB
Topic 19 | State Decomposition
Topic 20 | Masking Stateflow charts & Export chart level functions
Topic 21 | Difference between MATLAB and C as action language syntax
Topic 22 | State activity
Topic 23 | Computer Vision System Toolbox (Digital Image Processing)
Topic 24 | Histogram equalization & Contrast stretching
Topic 25 | RGB to Gray image conversion
Topic 26 | Deinterlacing
Topic 27 | Cell Counting
Topic 28 | Introduction about GUI
Topic 28 | Introduction about GUI
Topic 29 | Image geometric transformation
Topic 30 | DSP System Toolbox in MATLAB
Topic 31 | Spectrum Analyzer using Simulink
Topic 32 | Graphical User Interface (GUI)
Topic 33 | Graphical User Interface (GUI)
Topic 34 | Fuzzy Logic Toolbox
Topic 35 | Neural Networks Toolbox
Topic 36 | Neural Networks Toolbox using Script & GUI
Topic 37 | Classify Patterns with a Neural Network
Topic 38 | Cluster Data with a Self Organizing Map
Topic 39 | Real Time Applications
Topic 40 | Raspberry Pi- Script, Simulink & GUI
Topic 41 | Internet of Things (IOT) based Arduino & Raspberry Pi Applications
Topic 42 | Interfacing with Android Sensors and Microcontrollers
Course Description
The course focuses on how to implement complex, finite-state machines using Stateflow and creating a model-based design using Simulink. The course gives an understanding of 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.
Real-time applications play a very important role. This course gives exposure to the students to work on different hardware like Arduino, Raspberry Pi, Android sensors, UART, and IoT-based applications.
Course objectives
This course gives guidance on the key features of widely used toolboxes in Simulink, helps to transform concepts into a complete model and verifies and evaluates the system behavior in different user environments.
It also allows the attendees to explore the more advanced features of MATLAB like Simulink modeling, 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 industrial perspective.
Roles in industry
Signal processing
Matlab Developer
power system modeling and simulation
Course Highlights
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