Line 20: Line 20:
 
We will represent this tone as a cosine signal, <math>x(t) = cos(2\pi349t)</math>
 
We will represent this tone as a cosine signal, <math>x(t) = cos(2\pi349t)</math>
  
For this signal <math> f_{s} > 2f_{m} = 2*349Hz = 698Hz
+
For this signal <math> f_{s} > 2f_{m} = 2*349Hz = 698Hz</math>
<math>
+

Revision as of 18:48, 1 October 2014

DTFT of a Cosine Signal Sampled Above and Below the Nyquist Frequency

A slecture by ECE student Andrew Pawling

Partly based on the ECE438 Fall 2014 lecture material of Prof. Mireille Boutin.




In this slecture we will look at an example that illustrates the Nyquist condition. When a signal is sampled, frequencies above half the sampling rate cannot be properly represented and result in aliasing.



Lets look at a pure tone frequency F4 = 349Hz

We will represent this tone as a cosine signal, $ x(t) = cos(2\pi349t) $

For this signal $ f_{s} > 2f_{m} = 2*349Hz = 698Hz $

Alumni Liaison

Basic linear algebra uncovers and clarifies very important geometry and algebra.

Dr. Paul Garrett