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==Introduction== | ==Introduction== | ||
− | Consider a CT cosine signal (a pure frequency), and sample that signal with a rate above or below Nuquist rate. In this slecture, I will talk about how does the discrete-time Fourier transform of the sampling of this signal look like. | + | Consider a CT cosine signal (a pure frequency), and sample that signal with a rate above or below Nuquist rate. In this |
+ | |||
+ | slecture, I will talk about how does the discrete-time Fourier transform of the sampling of this signal look like. | ||
==Sampling rate above Nyquist rate== | ==Sampling rate above Nyquist rate== | ||
Revision as of 11:41, 27 September 2014
Discrete-time Fourier transform (DTFT) of a sampled cosine
A slecture by ECE student Yijun Han
Partly based on the ECE438 Fall 2014 lecture material of Prof. Mireille Boutin.
Contents
outline
- Introduction
- Sampling rate above Nyquist rate
- Sampling rate below Nyquist rate
- Conclusion
- References
Introduction
Consider a CT cosine signal (a pure frequency), and sample that signal with a rate above or below Nuquist rate. In this
slecture, I will talk about how does the discrete-time Fourier transform of the sampling of this signal look like.
Sampling rate above Nyquist rate
Sampling rate below Nyquist rate
Conclusion
References
[1].Mireille Boutin, "ECE438 Digital Signal Processing with Applications," Purdue University August 26,2009
Questions and comments
If you have any questions, comments, etc. please post them on this page.