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

Created by: Mike X Cohen
Educator and writer

What Will I 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.

Requirements

• A curious mind!
• Some MATLAB or Python experience is useful but not required
• High-school math (calculus is not necessary)
• Previous knowledge of the Fourier transform is NOT necessary!
• * Manually correct English captions *

Target audience

• Students who need to know the Fourier transform for courses.
• Scientists who need to know the Fourier transform for research.
• Data scientists who need to do spectral analysis.
• Someone doing digital signal processing or image processing (filtering, signal separation, etc.)
• Someone who learned the FT by solving integral equations but wants more insight into what it means.
• Programmers looking for tips about optimizing code that involves FFT.
• Someone who is curious what the Fourier transform is and why it's so important.
• Someone who uses the FFT but wants a better understanding of what it means, why it works, and how to interpret the results.