Difference between revisions of "A3-Digital Communication principles"
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− | + | =⌘ Summary = | |
+ | * <span style="color:#000B80"> radio wave propagation | ||
+ | * <span style="color:#000B80"> Electromagnetic signals | ||
+ | * <span style="color:#0B0080"> Nyquist Theorem | ||
+ | * <span style="color:#0B0080"> Signal/noise ratio | ||
+ | * <span style="color:#0B0080"> Shannon Theorem | ||
+ | * <span style="color:#0B0080"> Signal strength | ||
+ | |||
+ | =⌘ Nyquist Theorem = | ||
+ | [[File:BandlimitedSignals.png|450px|right]] | ||
+ | * Shannon: If a function <math> f(t) </math> contains no frequencies higher than <math> W </math> [cycles/s], it is completely determinded by giving its ordinates at serires of points spaced <math> \frac{1}{2W} </math> seconds apart | ||
+ | |||
+ | [[File:InsufficientlySampled.png|450px|right]] | ||
+ | * <span style="color:#000B80"> band-limitation versus time-limitation | ||
+ | * <span style="color:#000B80"> Fourier transform | ||
+ | |||
+ | [source: Shannon, 1948] |
Revision as of 22:27, 20 September 2014
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⌘ Summary
- radio wave propagation
- Electromagnetic signals
- Nyquist Theorem
- Signal/noise ratio
- Shannon Theorem
- Signal strength
⌘ Nyquist Theorem
- Shannon: If a function contains no frequencies higher than [cycles/s], it is completely determinded by giving its ordinates at serires of points spaced seconds apart
- band-limitation versus time-limitation
- Fourier transform
[source: Shannon, 1948]