Udemy – Introduction to the Discrete Fourier Transform with Python

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Udemy – Introduction to the Discrete Fourier Transform with Python

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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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