1 / 4

COMM 401: SIGNALS & SYSTEMS Lecture 09: Discrete Time Fourier Series

COMM 401: SIGNALS & SYSTEMS Lecture 09: Discrete Time Fourier Series. Dr.-Ing. Khaled Shawky Hassan Faculty of Information Engineering and Technology khaled.shawky@guc.edu.eg. Fourier series coefficient. clear; N=10; % fundamental period w0= 2*pi/N; % fundamental frequency

jenny
Télécharger la présentation

COMM 401: SIGNALS & SYSTEMS Lecture 09: Discrete Time Fourier Series

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. COMM 401: SIGNALS & SYSTEMSLecture 09: Discrete Time Fourier Series Dr.-Ing. Khaled Shawky Hassan Faculty of Information Engineering and Technology khaled.shawky@guc.edu.eg

  2. Fourier series coefficient clear; N=10; % fundamental period w0= 2*pi/N; % fundamental frequency n = 1:1:N; % discrete time (one period) % different signals: x=[1 1 0 0 0 0 0 1 1 1]; % x=sin(w0*n); % x=cos(w0*n); % x=exp(j*2*w0*n); % x=[1 1 1 1 1 1 1 0 0 1]; % x=[4 3 2 1 0 1 2 3 4 5]; for ik=1:N, a(ik) = 1/N*sum(x.*exp(-j*ik*w0*n)); end Dr.-Ing. Khaled Shawky Hassan Electronics and Electrical Engineering Department

  3. signal Dr.-Ing. Khaled Shawky Hassan Electronics and Electrical Engineering Department

  4. frequency spectrum Dr.-Ing. Khaled Shawky Hassan Electronics and Electrical Engineering Department

More Related