Instructor-Led Training Parameters
Course Highlights
- Instructor-led Online Training
- Project Based Learning
- Certified & Experienced Trainers
- Course Completion Certificate
- Customized Learning Schedule
- Doubt-Clearing Sessions
DSP with MATLAB® Training Course Overview
DSP (Digital Signal Processing) with MATLAB® training focuses on implementing the concepts of Digital Signal Processing (DSP) through MATLAB® Signal Processing toolbox. Participants gain understanding on the analysis and visualization by creating scripts and plotting commands in MATLAB® software. While learning MATLAB® programming, the trainees learn how to create interface with the real world using the serial port. By developing a project, aspirants get hand-on exposure on different concepts including image processing, speech recognition, motion sensing, color object processing, and gesture recognition among others. During the Simulink training sessions, model-based designing is also discussed.
After completing this training, candidates are able to:
- Understanding of DSP
- Familiarity with MATLAB® software and command prompt
- Working on matrices and arrays using MATLAB®
- Create scripts, functions, plot commands and images using MATLAB®
- Provide interfacing of MATLAB® script with GUI and serial port
- Create real time DSP application
- Create Simulink model of mathematical equations and dynamic systems
Target audience
- Students from third and fourth year of BE / B. Tech. courses (Electronics, Electronics & Telecommunication, Instrumentation, Electrical, Computer Science, IT, Chemical).
- Working professionals from different technologies including embedded systems, chemical, control among others.
- Professionals willing to develop or enhance MATLAB® skills.
Prerequisites
Candidates having knowledge of signal processing concepts coupled with any programming experience are the ideal participants for this course.
Instructor-led Training Live Online Classes
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DSP with MATLAB® Training Course Content
1. Introduction to DSP
- Signal Processing; what is DSP?
- Advantages and disadvantages
- Quantization and sampling; Aliasing
- Anti-aliasing and reconstruction filters
2. Introduction to MATLAB® Software
- Getting MATLAB® to RUN
- Programming
- The Command Prompt, Workspace
- Simple Mathematical Expressions
3. How to deal with Matrices and Arrays in MATLAB®
- Vector in MATLAB®
- Matrices in MATLAB®
- Methods of accessing Matrix Elements
4. Creating Scripts in MATLAB®
- Matrices operations
- Addition, subtractions of matrices of n numbers rows and columns
- Multiplication of Matrices of nxm and mxn row column.
5. Plotting Commands
- One dimensional plots
- Two dimension plots
- Three dimension plots
6. Flow control Commands
- IF statements
- While Statements
- For Loops
7. User defined functions
- Creating functions in MATLAB® environment
- Calling functions
- Executing functions
8. Functioning and use of predefined functions
- Study of various predefined functions of MATLAB®
- GUI development
- Need of GUI
- Creating GUI
- Interfacing of MATLAB® script and GUI
- External Interfaces (serial Port)
- Interfacing the MATLAB® script to the real world through RS232
- Study of commands required to send / receive data through serial port
- Develop an application for interfacing external hardware to the PC through MATLAB®
9. The Project work
- Creating one real time DSP application
- Image Processing
- Speech Recognition
- Voice Recognition
- Motion Sensing
- Image Recognition
- Color Object Processing
- Gesture Recognition
10. SIMULINK®
- Getting familiarize with the SIMULINK user interface
- Creating a new model
- Opening an existing model
- Brief study of the components of the SIMULINK®
- Introduction to Model-Based design
- Importing and exporting data from and to the workspace
- Creating a SIMULINK® model out of the mathematical equations
- Creating SIMULINK® model of the dynamic systems
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DSP with MATLAB Training (MCQ) Assessment
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DSP with MATLAB® Training Trainer Profile
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