Tutorial: Intro to DSP (Digital Signal Processing)

Tutorial Details

Spectral analysis is an important and useful technique in many areas of science and engineering, and the Fast Fourier Transform is one of the most important algorithms, but the fundamental ideas of signal processing are not as widely known as they should be.

Fortunately, Python provides an accessible and enjoyable way to get started. In this tutorial, I present material from my book, Think DSP, and from a class I teach at Olin College. We will work with audio signals, including music and other recorded sounds, and visualize their spectrums and spectrograms. We will synthesize simple sounds and learn about harmonic structure, chirps, filtering, and convolution.

Instructor Bio

Allen Downey is a professor of computer science at Olin College, a new engineering college near Boston with the mission to fix engineering education. He is the author of Think Python, Think Stats, Think Bayes, Think Complexity, and several other books all available under free licenses. Pre-Tutorial Instructions You should be comfortable using Python in a Jupyter notebook.

Please follow the instructions at http://allendowney.github.io/ThinkDSP/tutorial

If there are any issues, please contact Allen Downey at downey@allendowney.com

Other Notes Food will not be provided, as we do not have sponsors for the event. Lunch options nearby in the Kendall/MIT area include Au Bon Pain, Chipotle, Clover, Champions, and more.