Introduction to the Discrete Fourier Transform with Python
Understand the Discrete Fourier Transform.
- 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
- determine mathematically and programmatically note/chord of a sound file using the DFT in Python
- understand the basics of digital audio
- filter out noise from a sound file using Python
- understand the basics of sound compression and filtering
- know 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
- learn more about 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
The Discrete Fourier Transform (DFT) is one of the most useful algorithms in computer science and digital signal processing. If you’ve ever opened a JPEG, listened to an MP3, watched a MPEG video, or used voice recognition of Alexa or the Shazam app, you’ve used some variant of the DFT. Its efficient implementation, the Fast Fourier Transform, is considered one of the top 10 algorithms of the 20th century by the American Institute of Physics and the IEEE Computer Society. Fortunately, the math is very accessible and only involves basic complex numbers and basic trigonometry.
This course is a very basic introduction to the Discrete Fourier Transform. We will focus on understanding the math behind the formula and use Python to do some simple applications of the DFT and fully appreciate its utility. . The Python code we are writing is, however, very minimal. Students with little or no programming experience will still be able to learn Python through the examples in the lectures.
Students should have Anaconda installed with the Jupyter Notebook. However, all of the programming assignments can also be run on the cloud on MyBinder.
- anyone who wishes to understand the Discrete Fourier Transform and its applications
- anyone who wishes to understand a beautiful concept that lies at the intersection of math and music
- anyone who wishes to see a powerful and interesting application of Python and Numpy.