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==Introduction== | ==Introduction== | ||
| − | In this slecture I will discuss about the relations between the original signal <math> X(f) | + | In this slecture I will discuss about the relations between the original signal <math> X(f) </math> , sampling continuous time signal <math> X_s(f) </math> and sampling discrete time signal <math> X_d(\omega) </math> in frequency domain and give a specific example showing the relations. |
| − | + | ||
| − | </math> , sampling continuous time signal <math> X_s(f) </math> and sampling discrete time | + | |
| − | + | ||
| − | signal <math> X_d(\omega) </math> in frequency domain and give a specific example | + | |
| − | + | ||
| − | showing the relations. | + | |
---- | ---- | ||
Revision as of 20:05, 5 October 2014
Frequency domain view of the relationship between a signal and a sampling of that signal
A slecture by ECE student Botao Chen
Partly based on the ECE438 Fall 2014 lecture material of Prof. Mireille Boutin.
Outline
- Introduction
- Derivation
- Example
- Conclusion
Introduction
In this slecture I will discuss about the relations between the original signal $ X(f) $ , sampling continuous time signal $ X_s(f) $ and sampling discrete time signal $ X_d(\omega) $ in frequency domain and give a specific example showing the relations.
