10/3,6 - The Game: Difference between revisions
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|<math>=\left \langle h \mid e^{j \omega_n u} \right \rangle e^{j \omega_n t}</math> |
|<math>=\left \langle h(u) \mid e^{j \omega_n u} \right \rangle e^{j \omega_n t}</math> |
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|<math>=\sum_{n=-\infty}^{\infty} \frac {1}{T} \left \langle x(t) \mid e^{j\omega_n t}\right \rangle |
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|<math>=n^2 + 2n + 1</math> |
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\left \langle h(u) \mid e^{j \omega_n u}\right \rangle e^{j \omega_n t}</math> |
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Latest revision as of 23:04, 13 November 2008
The Game
The idea behind the game is to use linearity (superposition and proportionality) and time invariance to find an output for a given input. An initial input and output are given.
Input | LTI System | Output | Reason |
Given | |||
Time Invarience | |||
Proportionality | |||
Superposition |
With the derived equation, note that you can put in any to find the given output. Just change your t for a lambda and plug n chug.
Example 1
Let
Let thus | ||
The order of integration switched due to changing from | ||
Different notation | ||
Different notation |
Example 2
Let
From Example 1 | ||
Different notation |
Questions
- How do eigenfunction and basisfunctions differ?
- Eigenfunctions will "point" in the same direction after going through the LTI system. It may (probably) have a different coefficient however. Very convenient.