Master The Fourier Transform And Its Applications
Last updated 8/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Learn the Fourier transform in MATLAB and Python, and its applications in digital signal processing and image processing
What you’ll 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!
Description
Who this course is for:
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.
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