Description
Signal Processing Problems Solved in MATLAB and Python is a course from Udemy 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 analysis. Nature tends to combine signal and noise sources, which makes it more difficult to understand nature. Therefore, one of the most important goals of time data analysis and signal processing is noise separation.
One of the big ideas of DSP or digital signal processing is uncovering secrets hidden in time data, and this course attempts to show you the most common ways to uncover those secrets. The main focus of this course is the implementation of signal processing techniques in MATLAB and Python. In this course, you will have over 10,000 lines of MATLAB and Python code and learn signal processing problems well.
Courses taught in this course:
- Introduction to the most common signal processing tools
- Design, evaluation and application of digital filters
- Clear, data-separated noise
- Increased skills in MATLAB and Python programming
- Generation of test signals
Course Specifications Signal Processing Problems, Solved in MATLAB and Python:
- English language
- Duration: 12 hours and 32 minutes
- Number of lessons: 98
- Education level: Intermediate
- Tutor: Mike X Cohen
- File format: mp4
Course titles
Course prerequisites
- Basic programming experience in MATLAB or Python
- high school math
Pictures
sample movie
Installation guide
View with your favorite player after ripping.
english subtitle
Quality: 720p
Changes:
The 2022/4 version increased by 6 minutes compared to 2019/10.
Download link
File password(s): ngaur.com
Cut
2.58 GB