Analyze Signals And Time-Series Data. Model, Design, And Simulate Signal Processing Systems With MATLAB And Simulink Training by Tonex
This comprehensive course, offered by Tonex, equips participants with the skills and knowledge to effectively analyze signals and time-series data using MATLAB and Simulink. Through a combination of theoretical concepts and hands-on exercises, attendees will gain proficiency in modeling, designing, and simulating signal processing systems. This course is designed to empower professionals with practical expertise in signal processing, enabling them to excel in a wide range of industries, from telecommunications to biomedical engineering.
By the end of this course, participants will have a strong foundation in signal processing, hands-on experience with MATLAB and Simulink, and the ability to design and simulate signal processing systems for various applications.
Learning Objectives: Upon completing this course, participants will be able to:
- Learn Signal Processing Fundamentals: Grasp the foundational principles of signal processing, including analog and digital signal representation, sampling, and quantization.
- Master MATLAB and Simulink: Proficiently use MATLAB and Simulink to analyze and manipulate signals, and create complex signal processing systems.
- Signal Filtering Techniques: Apply various signal filtering techniques, including low-pass, high-pass, and band-pass filters, to enhance signal quality.
- Time-Series Analysis: Learn how to perform time-series analysis, identify trends, and make predictions from time-series data.
- Design Signal Processing Systems: Develop and design signal processing systems for real-world applications, such as audio processing, image enhancement, and communication systems.
- Simulation and Validation: Utilize Simulink to simulate and validate signal processing models, ensuring their accuracy and effectiveness.
Audience: This course is ideal for:
- Engineers and Scientists: Seeking to enhance their signal processing skills and apply them to solve complex problems.
- Researchers: Looking to gain practical expertise in signal processing for research projects.
- Data Analysts: Interested in expanding their data analysis capabilities to include time-series data.
- Electronics and Communication Professionals: Wanting to design and simulate signal processing systems for telecommunications and related industries.
- Graduates and Students: Preparing for careers in engineering, data science, or research, requiring a solid foundation in signal processing.
Course Outline:
Introduction to Signal Processing
- Basics of Signals and Systems
- Analog vs. Digital Signals
- Sampling and Quantization
- An Introduction to SIGINT (Signal Intelligence)
- Signal Representation in MATLAB
MATLAB Fundamentals for Signal Processing
- MATLAB Environment and Syntax
- Data Visualization and Plotting
- Signal Manipulation with MATLAB
- Signal Filtering Techniques
Time-Series Data Analysis
- Time-Series Data Characteristics
- Trend Analysis
- Forecasting and Prediction
- Time-Series Data Visualization in MATLAB
Signal Processing System Design
- Building Blocks of Signal Processing Systems
- Designing Filters in MATLAB
- Implementing Real-time Signal Processing Systems
- Case Studies and Applications
Simulating Signal Processing Systems with Simulink
- Introduction to Simulink
- Building Simulink Models
- Simulating Signal Processing Systems
- Model Validation and Analysis
Advanced Topics in Signal Processing
- Adaptive Filtering
- Spectral Analysis
- Image and Audio Processing
- Modern Communication Systems
- Application of Advanced Modulation and Coding
- Case Study: CCSDS Space Signal Analysis