Signal processing problems, solved in MATLAB and in Python
Applications-oriented instruction on signal processing and digital signal processing (DSP) using MATLAB and Python codes
Product Brand: Udemy
4.6
Udemy Coupon Code for Signal processing problems, solved in MATLAB and Python Course. Applications-oriented instruction on signal processing and digital signal processing (DSP) using MATLAB and Python codes
Created by Mike X Cohen | 12.5 hours on-demand video course
Signal Processing Course Overview
Signal processing problems, solved in MATLAB and 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.
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!
Top Signal Processing Courses Online for 2024
Complete neural signal processing and analysis: Zero to hero Course
Complete neural signal processing and analysis: Zero to hero Best seller
This Complete neural signal processing and analysis: Zero to hero Course contains over 46 hours of video instruction, plus TONS of MATLAB exercises, problem sets, and challenges. If you do all the MATLAB exercises, this course is easily well over 100 hours of educational content.
Master the Fourier transform and its applications
Master the Fourier transform and its applications Best seller
This Master the Fourier transform and its applications course is focused on implementations of the Fourier transform on computers, and applications in digital signal processing (1D) and image processing (2D). I don’t go into detail about setting up and solving integration problems to obtain analytical solutions. Thus, this course is more on the computer science/data science/engineering side of things, rather than on the pure mathematics/differential equations/infinite series side.
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
Taught by Mike X Cohen