Udemy – Introduction to the Discrete Fourier Transform with Python

Description

Udemy – Introduction to the Discrete Fourier Transform with Python

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What you’ll learn

• understand the math behind the Discrete Fourier Transform(DFT), one of the most useful formulas in applied math and computer science.
• gain a deeper appreciation for the DFT by applying it to simple applications using Python
• be able to mathematically and programmatically determine note/chord of a sound file using the DFT in Python
• understand the basics of digital audio
• be able to filter out noise from a sound file using Python
• be able to understand the basics of sound compression and filtering
• understand the difference between time domains vs. frequency domains of digital signals
• implement your own version of the Discrete Fourier Transform in Python and compare it to the efficient Fast Fourier Transform
• understand why the DFT works
• understand the DFT from the geometric viewpoint via the inner product
• be able to programmatically play sounds from .txt and .wav files
• understand the basics of sounds, music theory, physics of sounds

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