Signal processing problems, solved in MATLAB and in Python
Signal processing problems, solved in MATLAB and in Python Courses Online from Udemy. Applications-oriented instruction on signal processing and digital signal processing (DSP) using MATLAB and Python codes.
Signal Processing Course
Signal processing problems, solved in MATLAB and in Python
The main focus of this course is on implementing signal processing techniques in MATLAB and in Python. Some theory and equations are shown, but I’m guessing you are reading this because you want to implement DSP techniques on real signals, not just brush up on abstract theory.
The course comes with over 10,000 lines of MATLAB and Python code, plus sample data sets, which you can use to learn from and to adapt to your own coursework or applications. In this course, you will also learn how to simulate signals in order to test and learn more about your signal processing and analysis methods. You will also learn how to work with noisy or corrupted signals.
What you’ll learn
- Understand commonly used signal processing tools
- Design, evaluate, and apply digital filters
- Clean and denoise data
- Know what to look for when something isn’t right with the data or the code
- Improve MATLAB or Python programming skills
- Know how to generate test signals for signal processing methods
- *Fully manually corrected English captions!
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Who this course is for:
- Students in a signal processing or digital signal processing (DSP) course
- Scientific or industry researchers who analyze data
- Developers who work with time series data
- Someone who wants to refresh their knowledge about filtering
- Engineers who learned the math of DSP and want to learn about implementations in software
