Introduction

This quick book discusses the Fourier Transform, general knowledge needed to understand it, and some examples of applications. I wrote this in the context of neural signal processing. So while this book is still going to be applicable to other usecases as well, do keep in mind other explanations exist.

The sources of this book come from many areas, such as Youtube videos and other various online explanations, which I will link to as further reading on the bottom of each page. However, the largest part of my insight comes from the works of Mike X Cohen, particularly his book Analyzing Neural Time Series Data, as well as some of his Udemy courses. His works are great reads with many programming examples, primarily in MATLAB but also many in python. I highly recommend his works if you want to have some hands-on examples to work with.

All in all, this book is intended to be a quick summary to understanding the Fourier transform overall and getting your feet wet, and is a good starting point for wanting to understand signal processing as a whole.

Have fun!