Description
Signal Processing Problems Solved in MATLAB and Python is a Udemy training course that solves signal processing and DSP problems using MATLAB and Python. Nature is very complex and mysterious, and one of the biggest challenges in understanding it is data analytics. Nature tends to combine signal and noise sources, making nature more difficult to understand. Therefore, one of the most important goals of temporal data analysis and signal processing is noise separation.
One of the great ideas of DSP, or Digital Signal Processing, is discovering the secrets hidden in temporal data, and this course will try to show you the most common ways to discover those secrets. This course focuses on implementing signal processing techniques in MATLAB and Python. In this course, you’ll have over 10,000 lines of MATLAB and Python code and get a good grasp of signal processing issues.
Courses taught in this course:
- An introduction to the most common signal processing tools
- Design, evaluation and implementation of digital filters
- Clear and separate the noise from the data
- Increased MATLAB and Python programming skills
- Generating test signals
Course specifications Signal processing problems solved in MATLAB and Python:
- English
- Duration: 12 hours and 32 minutes
- Number of courses: 98
- Education level: intermediate
- Instructor: Mike X Cohen
- File format: mp4
Course titles
Course prerequisites
- Initial programming experience in MATLAB or Python
- high school math
Pictures
Sample movie
installation manual
After extraction, watch with your favorite player.
english subtitles
Quality: 720p
Changes:
Version 2022/4 is compared to 2019/10. increased by 6 minutes over the year.
Download link
File password(s): free download software
size
2.58GB