DFT Math Outline

GUIDE: Mathematics of the Discrete Fourier Transform (DFT) - Julius O. Smith III. DFT Math Outline

It appears that you are using AdBlocking software. The cost of running this website is covered by advertisements. If you like it please feel free to a small amount of money to secure the future of this website.

NOTE: THIS DOCUMENT IS OBSOLETE, PLEASE CHECK THE NEW VERSION: "Mathematics of the Discrete Fourier Transform (DFT), with Audio Applications --- Second Edition", by Julius O. Smith III, W3K Publishing, 2007, ISBN 978-0-9745607-4-8. - Copyright © 2017-09-28 by Julius O. Smith III - Center for Computer Research in Music and Acoustics (CCRMA), Stanford University

<< Previous page  TOC  INDEX  Next page >>

DFT Math Outline

In summary, understanding the DFT takes us through the following topics:

  1. Complex numbers
  2. Complex exponents
  3. Why $e$?
  4. Euler's formula
  5. Projecting signals onto signals via the inner product
  6. The DFT as the coefficient of projection of a signal $x$ onto $N$ sinusoids
  7. The IDFT as a weighted sum of the $N$ projections
  8. Various Fourier theorems
  9. Elementary time-frequency pairs
  10. Practical spectrum analysis in Matlab

We will additionally discuss practical aspects of working with sinusoids, such as decibels (dB) and display techniques.

<< Previous page  TOC  INDEX  Next page >>

 

© 1998-2023 – Nicola Asuni - Tecnick.com - All rights reserved.
about - disclaimer - privacy