Master the Fourier transform and its applications
Learn the Fourier transform in MATLAB and Python, and its applications in digital signal processing and image processing
4.64 (2445 reviews)
18 027
students
7 hours
content
Apr 2025
last update
$84.99
regular price
What you will learn
Learn about one of the single most important equations in all of modern technology and therefore human civilization.
The fundamental concepts underlying the Fourier transform
Sine waves, complex numbers, dot products, sampling theorem, aliasing, and more!
Interpret the results of the Fourier transform
Apply the Fourier transform in MATLAB and Python!
Use the fast Fourier transform in signal processing applications
Improve your MATLAB and/or Python programming skills
Know the limitations of interpreting the Fourier transform.
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Our Verdict
Mike X Cohen's Master the Fourier Transform and its Applications course stands out as an asset for those eager to learn about one of the most impactful equations in modern technology. While it has amassed a strong reputation over the years, subtle improvements such as enhanced explanations of advanced topics and more explicit references to external resources can optimize learning for future students. Regardless, the course remains valuable for aspiring professionals or enthusiasts aiming to strengthen their digital signal processing skills.
What We Liked
- Covers fundamental concepts of Fourier transform in-depth, including sine waves, complex numbers, dot products, sampling theorem, aliasing, and more.
- Includes practical implementation teachings in MATLAB and Python with numerous coding examples.
- Addresses limitations of interpreting the Fourier transform for a well-rounded learning experience.
- Pays attention to different backgrounds, accessible for learners coming from programming as well.
Potential Drawbacks
- A few users expressed that the course could benefit from better explanations in certain sections like the 2D FT
- A handful of learners suggest adding a textbook reference or more in-depth resources to complement the learning materials.
- Some people might find MATLAB specifics less relevant if they're looking for Python-focused teachings specifically.
- The course is heavy on theory, which some users with weaker mathematical backgrounds may struggle with.
Related Topics
1441216
udemy ID
21/11/2017
course created date
12/07/2019
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