Signals and systems/GF Fourier: Difference between revisions
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**Superposition (additivity) |
**Superposition (additivity) |
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**Scaling (homogeneity) |
**Scaling (homogeneity) |
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==Complex Conjugate== |
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==Changing Basis Functions== |
==Changing Basis Functions== |
Revision as of 21:52, 29 October 2006
Fourier series
The Fourier series is used to analyze arbitrary periodic functions by showing them as a composite of sines and cosines.
A function is considered periodic if for .
The exponential form of the Fourier series is defined as
Determining the coefficient
- The definition of the Fourier series
- Integrating both sides for one period. The range of integration is arbitrary, but using scales nicely when extending the Fourier series to a non-periodic function
- Multiply by the complex conjugate
- Using L'Hopitals to evaluate the case. Note that n & m are integers
Notation
Linear Time Invariant Systems
Must meet the following criteria
- Time independance
- Linearity
- Superposition (additivity)
- Scaling (homogeneity)
Complex Conjugate
Changing Basis Functions
Identities